❣❣❣ CVPR 2023 论文分类整理已完成

:loudspeaker::loudspeaker::loudspeaker:获奖论文

:trophy:Best Paper

• Planning-oriented Autonomous Driving
  :house:project
• Visual Programming: Compositional visual reasoning without training

:trophy:Best student Paper

• 3D Registration with Maximal Cliques

:trophy:Honorable Mention

• DynIBaR: Neural Dynamic Image-Based Rendering
  :house:project

:trophy:Honorable Mention(Student)

• DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
  :house:project

历年综述论文分类汇总戳这里↘️CV-Surveys施工中~~~~~~~~~~

2024 年论文分类汇总戳这里

↘️WACV-2024-Papers

2023 年论文分类汇总戳这里

↘️CVPR-2023-Papers ↘️WACV-2023-Papers ↘️ICCV-2023-Papers

2022 年论文分类汇总戳这里

2021 年论文分类汇总戳这里

2020 年论文分类汇总戳这里

目录

:cat:	:dog:	:tiger:	:wolf:
1.其它	2.Image Segmentation(图像分割)	3.Image Progress(图像处理)	4.Image Captioning(图像字幕)
5.Object Detection(目标检测)	6.Object Tracking(目标跟踪)	7.Point Cloud(点云)	8.Action Detection(人体动作检测与识别)
9.Human Pose Estimation(人体姿态估计)	10.3D(三维视觉)	11.Face	12.Image-to-Image Translation(图像到图像翻译)
13.GAN	14.Video	15.Transformer	16.Semi/self-supervised learning(半/自监督)
17.Medical Image(医学影像)	18.Person Re-Identification(人员重识别)	19.Neural Architecture Search(神经架构搜索)	20.Autonomous vehicles(自动驾驶)
21.UAV/Remote Sensing/Satellite Image(无人机/遥感/卫星图像)	22.Image Synthesis/Generation(图像合成)	23.Image Retrieval(图像检索)	24.Super-Resolution(超分辨率)
25.Fine-Grained/Image Classification(细粒度/图像分类)	26.GCN/GNN	27.Pose Estimation(物体姿势估计)	28.Style Transfer(风格迁移)
29.Augmented Reality/Virtual Reality/Robotics(增强/虚拟现实/机器人)	30.Visual Answer Questions(视觉问答)	31.Vision-Language(视觉语言)	32.Data Augmentation(数据增强)
33.Human-Object Interaction(人物交互)	34.Model Compression/Knowledge Distillation/Pruning(模型压缩/知识蒸馏/剪枝)	35.OCR	36.Optical Flow(光流估计)
37.Contrastive Learning(对比学习)	38.Meta-Learning(元学习)	39.Continual Learning(持续学习)	40.Adversarial Learning(对抗学习)
41.Incremental Learning(增量学习)	42.Metric Learning(度量学习)	43.Multi-Task Learning(多任务学习)	44.Federated Learning(联邦学习)
45.Dense Prediction(密集预测)	46.Scene Graph Generation(场景图生成)	47.Few/Zero-Shot Learning/DG/Adaptation(小/零样本/域泛化/适应)	48.NLP(自然语言处理)
49.Image Geo-localization(图像地理定位)	50.Anomaly Detection(异常检测)	51.光学、几何、光场成像	52.Human Motion Forecasting(人体运动预测)
53.Sign Language Translation(手语翻译)	54.Benchmark/Dataset(基准/数据集)	55.Novel View Synthesis(视图合成)	56.Sound
57.Gaze Estimation(视线估计)	58.Neural rendering(神经渲染)	59.Image\Video Compression(图像视频压缩)	60.Industrial Anomaly Detection(工业缺陷检测)
61.Object Re-identification(物体重识别)	62.Object Counting(物体计数)	63.edge detection(边缘检测)	64.Motion Retargeting(动作重定向)
65.Scene flow estimation(场景流估计)	66.Clustering(聚类)	67.Active Learning(主动学习)	68.Lifelong Learning(终身学习)
69.Reinforcement learning(强化学习)	70.Image Forgery Detection	71.visual reasoning(视觉推理)	72.open-set recognition(开集识别)
73.Neural Radiance Fields(神经辐射场)	74.Machine Learning(机器学习)	75.Semantic Scene Completion(语义场景补全)	76.IP protection(知识产权保护)
77.sketch(草图)	78.Image/Video Editing(图像/视频编辑)	79.thermal imaging technology(热敏成像技术)	80.计算机图形学

80.计算机图形学

• Learning Anchor Transformations for 3D Garment Animation
  :star:code
• Trace and Pace: Controllable Pedestrian Animation via Guided Trajectory Diffusion
  :star:code
• CloSET: Modeling Clothed Humans on Continuous Surface with Explicit Template Decomposition
  :house:project
• FLEX: Full-Body Grasping Without Full-Body Grasps
  :house:project

79.thermal imaging technology(热敏成像技术)

• What Happened 3 Seconds Ago? Inferring the Past with Thermal Imaging
  :star:code

78.Image/Video Editing(图像/视频编辑)

• PREIM3D: 3D Consistent Precise Image Attribute Editing from a Single Image
  :house:project
• 文本驱动的视频编辑
  • Shape-aware Text-driven Layered Video Editing
    :house:project
• Image Editing(图像编辑)
  • CoralStyleCLIP: Co-optimized Region and Layer Selection for Image Editing
  • SIEDOB: Semantic Image Editing by Disentangling Object and Background
  • NULL-Text Inversion for Editing Real Images Using Guided Diffusion Models
  • InstructPix2Pix: Learning To Follow Image Editing Instructions
    :house:project
  • Local 3D Editing via 3D Distillation of CLIP Knowledge
  • Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model
  • Imagic: Text-Based Real Image Editing With Diffusion Models
  • 基于样本的图像编辑
    • Paint by Example: Exemplar-based Image Editing with Diffusion Models
      :star:code

77.sketch(草图)

• Photo Pre-Training, but for Sketch
  :star:code
• Restoration of Hand-Drawn Architectural Drawings Using Latent Space Mapping With Degradation Generator
• SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations
  :star:code

76.IP protection(知识产权保护)

• Model Barrier: A Compact Un-Transferable Isolation Domain for Model Intellectual Property Protection
• Effective Ambiguity Attack Against Passport-Based DNN Intellectual Property Protection Schemes Through Fully Connected Layer Substitution

75.Semantic Scene Completion(语义场景补全)

• Semantic Scene Completion With Cleaner Self
• VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion
  :star:code

74.Machine Learning(机器学习)

• Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets
• Multi-Agent Automated Machine Learning
• Towards Better Decision Forests: Forest Alternating Optimization
• ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer
  :star:code
• A Whac-a-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others
  :star:code
• 新类别发现
  • Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery
    :star:code
  • Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery
• 迁移学习
  • Visual Prompt Tuning for Generative Transfer Learning
  • A Data-Based Perspective on Transfer Learning
    :star:code
  • Manipulating Transfer Learning for Property Inference
    :star:code

73.Neural Radiance Fields(神经辐射场)

• Ref-NPR: Reference-Based Non-Photorealistic Radiance Fields for Controllable Scene Stylization
• Discriminating Known From Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoder
• Occlusion-Free Scene Recovery via Neural Radiance Fields
• Grid-guided Neural Radiance Fields for Large Urban Scenes
  :house:project
• NeRFLight: Fast and Light Neural Radiance Fields using a Shared Feature Grid
• GazeNeRF: 3D-Aware Gaze Redirection With Neural Radiance Fields
  :star:code
• SPARF: Neural Radiance Fields from Sparse and Noisy Poses
  :star:code
• Masked Wavelet Representation for Compact Neural Radiance Fields
  :star:code
• MobileNeRF: Exploiting the Polygon Rasterization Pipeline for Efficient Neural Field Rendering on Mobile Architectures
  :star:code
• AligNeRF: High-Fidelity Neural Radiance Fields via Alignment-Aware Training
  :house:project
• JacobiNeRF: NeRF Shaping With Mutual Information Gradients
• Robust Dynamic Radiance Fields
  :house:project
• Exact-NeRF: An Exploration of a Precise Volumetric Parameterization for Neural Radiance Fields
• PaletteNeRF: Palette-Based Appearance Editing of Neural Radiance Fields
• EditableNeRF: Editing Topologically Varying Neural Radiance Fields by Key Points
  :house:project
• SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene
  :house:project
• ShadowNeuS: Neural SDF Reconstruction by Shadow Ray Supervision
  :star:code
• Flow supervision for Deformable NeRF
• Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields
  :house:project
• EventNeRF: Neural Radiance Fields From a Single Colour Event Camera
  :house:project
• SeaThru-NeRF: Neural Radiance Fields in Scattering Media
• SteerNeRF: Accelerating NeRF Rendering via Smooth Viewpoint Trajectory
• Complementary Intrinsics From Neural Radiance Fields and CNNs for Outdoor Scene Relighting
• Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields
• Removing Objects From Neural Radiance Fields
• Grid-guided Neural Radiance Fields for Large Urban Scenes
  :star:code
• GM-NeRF: Learning Generalizable Model-based Neural Radiance Fields from Multi-view Images
• HandNeRF: Neural Radiance Fields for Animatable Interacting Hands
• NeRF-DS: Neural Radiance Fields for Dynamic Specular Objects
  :star:code
• JAWS: Just A Wild Shot for Cinematic Transfer in Neural Radiance Fields
  :house:project
• Multi-Space Neural Radiance Fields
  :star:code
• DBARF: Deep Bundle-Adjusting Generalizable Neural Radiance Fields
  :star:code
• StyleRF: Zero-shot 3D Style Transfer of Neural Radiance Fields
  :house:project
• Temporal Interpolation Is All You Need for Dynamic Neural Radiance Fields
  :house:project
• SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting With Neural Radiance Fields
• F2-NeRF: Fast Neural Radiance Field Training With Free Camera Trajectories
  :house:project
• Clothed Human Performance Capture with a Double-layer Neural Radiance Fields
• DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models
• 去模糊
  • BAD-NeRF: Bundle Adjusted Deblur Neural Radiance Fields
    :star:code
  • DP-NeRF: Deblurred Neural Radiance Field With Physical Scene Priors
    :star:code
    :house:project

72.open-set recognition(开集识别)

• Glocal Energy-based Learning for Few-Shot Open-Set Recognition

71.visual reasoning(视觉推理)

• Visual Programming: Compositional visual reasoning without training
  :trophy:Best Paper
• Abstract Visual Reasoning: An Algebraic Approach for Solving Raven's Progressive Matrices
  :star:code
• Super-CLEVR: A Virtual Benchmark To Diagnose Domain Robustness in Visual Reasoning
  :star:code
• Unicode Analogies: An Anti-Objectivist Visual Reasoning Challenge

70.Image Forgery Detection

• Hierarchical Fine-Grained Image Forgery Detection and Localization
  :star:code
• Detecting and Grounding Multi-Modal Media Manipulation
  :star:code
  :star:code虚假信息检测
• Evading DeepFake Detectors via Adversarial Statistical Consistency
• Edge-Aware Regional Message Passing Controller for Image Forgery Localization
• TruFor: Leveraging all-round clues for trustworthy image forgery detection and localization
  :house:project
• Towards Universal Fake Image Detectors That Generalize Across Generative Models
• Deepfake Detection
  • Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalization
    :star:code
  • Dynamic Graph Learning With Content-Guided Spatial-Frequency Relation Reasoning for Deepfake Detection

69.Reinforcement learning(强化学习)

• PIRLNav: Pretraining with Imitation and RL Finetuning for ObjectNav
• Local-Guided Global: Paired Similarity Representation for Visual Reinforcement Learning
• Fusing Pre-Trained Language Models With Multimodal Prompts Through Reinforcement Learning
  :star:code
• Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-per-Second
  :star:code
• Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning
  :house:project

68.Lifelong Learning(终身学习)

• Task Difficulty Aware Parameter Allocation & Regularization for Lifelong Learning
  :star:code

67.Active Learning(主动学习)

• Re-thinking Federated Active Learning based on Inter-class Diversity
• Box-Level Active Detection
  :star:code
• Are Binary Annotations Sufficient? Video Moment Retrieval via Hierarchical Uncertainty-Based Active Learning
  :star:code
• Re-Thinking Federated Active Learning Based on Inter-Class Diversity

66.Clustering(聚类)

• DivClust: Controlling Diversity in Deep Clustering
• MVC
  • On the Effects of Self-supervision and Contrastive Alignment in Deep Multi-view Clustering
    :star:code
  • GCFAgg: Global and Cross-View Feature Aggregation for Multi-View Clustering
  • Sample-Level Multi-View Graph Clustering
  • On the Effects of Self-Supervision and Contrastive Alignment in Deep Multi-View Clustering
    :star:code
  • Deep Incomplete Multi-View Clustering With Cross-View Partial Sample and Prototype Alignment
  • Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-View Clustering

65.Scene flow estimation(场景流估计)

• Hidden Gems: 4D Radar Scene Flow Learning Using Cross-Modal Supervision
  :star:code
• Self-Supervised 3D Scene Flow Estimation Guided by Superpoints
• Unsupervised Cumulative Domain Adaptation for Foggy Scene Optical Flow

64.Motion Retargeting(动作重定向)

• Skinned Motion Retargeting with Residual Perception of Motion Semantics & Geometry
  :star:code

63.edge detection(边缘检测)

• edge detection
  • The Treasure Beneath Multiple Annotations: An Uncertainty-aware Edge Detector
    :star:code

62.Object Counting(物体计数)

• Zero-shot Object Counting
  :star:code
• Indiscernible Object Counting in Underwater Scenes
  :star:code

61.Object Re-identification(物体重识别)

• MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID
  :star:code
• Large-scale Training Data Search for Object Re-identification
  :star:code
• Adaptive Sparse Pairwise Loss for Object Re-Identification
  :star:code

60.Industrial Anomaly Detection(工业缺陷检测)

• 缺陷定位
  • PyramidFlow: High-Resolution Defect Contrastive Localization using Pyramid Normalizing Flow
• 工业异常检测
  • Multimodal Industrial Anomaly Detection via Hybrid Fusion
    :star:code
  • OmniAL: A Unified CNN Framework for Unsupervised Anomaly Localization
• 异常分割
  • Winning Solution for the CVPR2023 Visual Anomaly and Novelty Detection Challenge: Multimodal Prompting for Data-centric Anomaly Detection
    :star:code
    :thumbsup:CVPR 2023 冠军解决方案，零样本异常分割新突破！

59.Image\Video Compression(图像视频压缩)

• Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger
• Context-Based Trit-Plane Coding for Progressive Image Compression
  :star:code
• Learned Image Compression with Mixed Transformer-CNN Architectures
  :star:code
• LVQAC: Lattice Vector Quantization Coupled with Spatially Adaptive Companding for Efficient Learned Image Compression
• Optimization-Inspired Cross-Attention Transformer for Compressive Sensing
  :star:code
• Multi-Realism Image Compression With a Conditional Generator
• AccelIR: Task-aware Image Compression for Accelerating Neural Restoration
• 视频压缩
  • Towards Scalable Neural Representation for Diverse Videos
  • HNeRV: A Hybrid Neural Representation for Videos
    :star:code
    :star:code
  • Video Compression With Entropy-Constrained Neural Representations
  • Complexity-Guided Slimmable Decoder for Efficient Deep Video Compression
  • EfficientSCI: Densely Connected Network with Space-time Factorization for Large-scale Video Snapshot Compressive Imaging
    :star:code
  • MMVC: Learned Multi-Mode Video Compression with Block-based Prediction Mode Selection and Density-Adaptive Entropy Coding
  • Neural Video Compression With Diverse Contexts
    :star:code （ Motion Information Propagation for Neural Video Compression
  • Hierarchical B-Frame Video Coding Using Two-Layer CANF Without Motion Coding
• 矢量量化
  • NVTC: Nonlinear Vector Transform Coding
    :star:code

58.Neural rendering(神经渲染)

• TMO: Textured Mesh Acquisition of Objects With a Mobile Device by Using Differentiable Rendering
• Tensor4D: Efficient Neural 4D Decomposition for High-Fidelity Dynamic Reconstruction and Rendering
• Hybrid Neural Rendering for Large-Scale Scenes with Motion Blur
  :house:project
• NeUDF: Leaning Neural Unsigned Distance Fields With Volume Rendering
• DiffRF: Rendering-Guided 3D Radiance Field Diffusion
  :house:project
• Unsupervised Continual Semantic Adaptation Through Neural Rendering
• Neural Fields Meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes
  :house:project
• UV Volumes for Real-Time Rendering of Editable Free-View Human Performance
  :house:project
• Inverse Rendering of Translucent Objects Using Physical and Neural Renderers
• ORCa: Glossy Objects As Radiance-Field Cameras
  :house:project
• MAIR: Multi-View Attention Inverse Rendering With 3D Spatially-Varying Lighting Estimation
  :house:project
• FlexNeRF: Photorealistic Free-viewpoint Rendering of Moving Humans from Sparse Views
  :house:project
• Learning To Render Novel Views From Wide-Baseline Stereo Pairs
  :house:project
• NeRFLiX: High-Quality Neural View Synthesis by Learning a Degradation-Driven Inter-viewpoint MiXer
  :house:project
• FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization
  :house:project
• Local Implicit Ray Function for Generalizable Radiance Field Representation
  :star:code
• FitMe: Deep Photorealistic 3D Morphable Model Avatars
  :star:code
• Pointersect: Neural Rendering with Cloud-Ray Intersection
• Inverse Rendering of Translucent Objects using Physical and Neural Renderers
• Semantic Ray: Learning a Generalizable Semantic Field with Cross-Reprojection Attention
  :star:code
• ABLE-NeRF: Attention-Based Rendering with Learnable Embeddings for Neural Radiance Field
• WildLight: In-the-wild Inverse Rendering with a Flashlight
  :star:code
• FlexNeRF: Photorealistic Free-viewpoint Rendering of Moving Humans from Sparse Views
  :star:code
• NeFII: Inverse Rendering for Reflectance Decomposition with Near-Field Indirect Illumination
• MonoHuman: Animatable Human Neural Field from Monocular Video
  :star:code
• Neural Residual Radiance Fields for Streamably Free-Viewpoint Videos
  :star:code
• PlenVDB: Memory Efficient VDB-Based Radiance Fields for Fast Training and Rendering
  在 iPhone12 手机上达到了对于输出 1280x720 分辨率的画面每秒 30 帧的速率。
• NeFII: Inverse Rendering for Reflectance Decomposition With Near-Field Indirect Illumination

57.Gaze Estimation(视线估计)

• NeRF-Gaze: A Head-Eye Redirection Parametric Model for Gaze Estimation
• Source-free Adaptive Gaze Estimation by Uncertainty Reduction
  :star:code
• ReDirTrans: Latent-to-Latent Translation for Gaze and Head Redirection

56.Sound + Vision(声音与视觉)

• Conditional Generation of Audio from Video via Foley Analogies
  :star:code
• Vision Transformers Are Parameter-Efficient Audio-Visual Learners
• 扬声器检测
  • A Light Weight Model for Active Speaker Detection
    :star:code
• 视听语音识别
  • Watch or Listen: Robust Audio-Visual Speech Recognition with Visual Corruption Modeling and Reliability Scoring
    :star:code
  • Collecting Cross-Modal Presence-Absence Evidence for Weakly-Supervised Audio-Visual Event Perception
    :star:code
  • AVFormer: Injecting Vision into Frozen Speech Models for Zero-Shot AV-ASR
  • SynthVSR: Scaling Up Visual Speech Recognition With Synthetic Supervision
• 视听定位
  • Learning Audio-Visual Source Localization via False Negative Aware Contrastive Learning
    :star:code
  • Audio-Visual Grouping Network for Sound Localization from Mixtures
    :star:code
• 音频源分离
  • Language-Guided Audio-Visual Source Separation via Trimodal Consistency
  • iQuery: Instruments As Queries for Audio-Visual Sound Separation
• 声音合成
  • Physics-Driven Diffusion Models for Impact Sound Synthesis from Videos
    :star:code
  • ReVISE: Self-Supervised Speech Resynthesis With Visual Input for Universal and Generalized Speech Regeneration
• 电影音频描述
  • AutoAD: Movie Description in Context
    :house:project
• 从声音中生成场景图像
  • Sound to Visual Scene Generation by Audio-to-Visual Latent Alignment
• 视听异常检测
  • Self-Supervised Video Forensics by Audio-Visual Anomaly Detection
    :star:code
• 电影配音
  • Learning To Dub Movies via Hierarchical Prosody Models
• 舞蹈生成
  • EDGE: Editable Dance Generation From Music
    :house:project
  • Music-Driven Group Choreography
• 视频显著性预测
  • CASP-Net: Rethinking Video Saliency Prediction From an Audio-Visual Consistency Perceptual Perspective
• 音频驱动的肖像动画
  • DiffTalk: Crafting Diffusion Models for Generalized Audio-Driven Portraits Animation
• 听觉定位
  • Egocentric Auditory Attention Localization in Conversations

55.Novel View Synthesis(视图合成)

• Neural Pixel Composition for 3D-4D View Synthesis From Multi-Views
• Consistent View Synthesis With Pose-Guided Diffusion Models
• MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs
  :house:project
• NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis
  :house:project
• NeRDi: Single-View NeRF Synthesis With Language-Guided Diffusion As General Image Priors
• Novel-View Acoustic Synthesis
  :house:project
• Cross-Guided Optimization of Radiance Fields With Multi-View Image Super-Resolution for High-Resolution Novel View Synthesis
• Frequency-Modulated Point Cloud Rendering with Easy Editing
  :star:code
• Learning Neural Duplex Radiance Fields for Real-Time View Synthesis
  :house:project
• ReLight My NeRF: A Dataset for Novel View Synthesis and Relighting of Real World Objects
  :star:code
• Balanced Spherical Grid for Egocentric View Synthesis
• Progressively Optimized Local Radiance Fields for Robust View Synthesis
  :star:code
• F$^{2}$-NeRF: Fast Neural Radiance Field Training with Free Camera Trajectories
  :star:code
• Enhanced Stable View Synthesis
• Consistent View Synthesis with Pose-Guided Diffusion Models
  :star:code
• Learning to Render Novel Views from Wide-Baseline Stereo Pairs
  :star:code
• Painting 3D Nature in 2D: View Synthesis of Natural Scenes From a Single Semantic Mask
  :house:project
• NoPe-NeRF: Optimising Neural Radiance Field With No Pose Prior
  :house:project
• Multiscale Tensor Decomposition and Rendering Equation Encoding for View Synthesis
  :star:code
• Efficient View Synthesis and 3D-Based Multi-Frame Denoising With Multiplane Feature Representations
• NeRFVS: Neural Radiance Fields for Free View Synthesis via Geometry Scaffolds
• DINER: Depth-aware Image-based NEural Radiance fields
  :house:project
• RefSR-NeRF: Towards High Fidelity and Super Resolution View Synthesis
  :star:code
• VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization
  :star:code
• DynIBaR: Neural Dynamic Image-Based Rendering
  :house:project
  :trophy:Honorable Mention
• Common Pets in 3D: Dynamic New-View Synthesis of Real-Life Deformable Categories

54.Benchmark/Dataset(基准/数据集)

• Joint HDR Denoising and Fusion: A Real-World Mobile HDR Image Dataset
• A New Dataset Based on Images Taken by Blind People for Testing the Robustness of Image Classification Models Trained for ImageNet Categories
• Benchmarking Self-Supervised Learning on Diverse Pathology Datasets
• Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline
• Towards Artistic Image Aesthetics Assessment: A Large-Scale Dataset and a New Method
• ScaleDet: A Scalable Multi-Dataset Object Detector
• JRDB-Pose: A Large-Scale Dataset for Multi-Person Pose Estimation and Tracking
  :sunflower:dataset
• Architecture, Dataset and Model-Scale Agnostic Data-Free Meta-Learning
• DF-Platter: Multi-Face Heterogeneous Deepfake Dataset
  :sunflower:dataset
• HandsOff: Labeled Dataset Generation With No Additional Human Annotations
  :sunflower:dataset
• M6Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout Analysis
  :star:code
• ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations
  :sunflower:dataset
• NewsNet: A Novel Dataset for Hierarchical Temporal Segmentation
  :star:code
• MISC210K: A Large-Scale Dataset for Multi-Instance Semantic Correspondence
  :star:code
• StarCraftImage: A Dataset for Prototyping Spatial Reasoning Methods for Multi-Agent Environments
  :house:project
• Habitat-Matterport 3D Semantics Dataset
• CNVid-3.5M: Build, Filter, and Pre-Train the Large-Scale Public Chinese Video-Text Dataset
  :star:code
  大规模公共中文视频文本数据集
• FLAG3D: A 3D Fitness Activity Dataset With Language Instruction
  :house:project
• Multi-Label Compound Expression Recognition: C-EXPR Database & Network
• ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation
  :house:project
  手物体操作的数据集
• xFBD: Focused Building Damage Dataset and Analysis
  建筑物损坏数据集
• Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo
  :sunflower:dataset
• Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes
• HairStep: Transfer Synthetic to Real Using Strand and Depth Maps for Single-View 3D Hair Modeling
  :sunflower:dataset
• CUDA: Convolution-based Unlearnable Datasets
  :sunflower:dataset
• MVImgNet: A Large-scale Dataset of Multi-view Images
  :sunflower:dataset
• V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perception
  :sunflower:dataset
  Vehicle-to-Vehicle(V2V)感知
• Polynomial Implicit Neural Representations For Large Diverse Datasets
  :sunflower:dataset
• MaskCon: Masked Contrastive Learning for Coarse-Labelled Dataset
  :sunflower:dataset
• RaBit: Parametric Modeling of 3D Biped Cartoon Characters with a Topological-consistent Dataset
  :sunflower:dataset
• Fantastic Breaks: A Dataset of Paired 3D Scans of Real-World Broken Objects and Their Complete Counterparts
  :star:code
• ARKitTrack: A New Diverse Dataset for Tracking Using Mobile RGB-D Data
  :star:code
• CelebV-Text: A Large-Scale Facial Text-Video Dataset
  :star:code
  人脸文本到视频生成
• Towards Artistic Image Aesthetics Assessment: a Large-scale Dataset and a New Method
  :star:code
  艺术图像美学评估
• CIMI4D: A Large Multimodal Climbing Motion Dataset under Human-scene Interactions
  :house:project
  攀爬动作数据集
• Uncurated Image-Text Datasets: Shedding Light on Demographic Bias
• AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary Detection
  :star:code
  :house:project公共短视频镜头边界检测数据集
• V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting
  :star:code
• WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models
  :star:code用于极端天气条件下的物体检测和天气分类任务的合成数据集
• CLOTH4D: A Dataset for Clothed Human Reconstruction
  :sunflower:dataset
  用于穿衣服人体重建的数据集
• OmniCity: Omnipotent City Understanding With Multi-Level and Multi-View Images
  :sunflower:dataset
  从多层次和多视图图像中获取全能城市理解的新数据集。
• RealImpact: A Dataset of Impact Sound Fields for Real Objects
  :star:code
• BEDLAM: A Synthetic Dataset of Bodies Exhibiting Detailed Lifelike Animated Motion
  :house:project
• GFIE:A Dataset and Baseline for Gaze-Following From 2D to 3D in Indoor Environments
  :house:project
• Benchmark(基准)
  • A Soma Segmentation Benchmark in Full Adult Fly Brain
    :star:code
  • A New Comprehensive Benchmark for Semi-Supervised Video Anomaly Detection and Anticipation
  • A Large-Scale Homography Benchmark
  • Toward RAW Object Detection: A New Benchmark and a New Model
  • MammalNet: A Large-Scale Video Benchmark for Mammal Recognition and Behavior Understanding
  • Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild
    :house:project
  • Advancing Visual Grounding With Scene Knowledge: Benchmark and Method
    :star:code
  • The ObjectFolder Benchmark: Multisensory Learning With Neural and Real Objects
    :star:code
  • Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn
    :star:code
  • A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation
    :star:code
  • GeoNet: Benchmarking Unsupervised Adaptation across Geographies
    :star:code
  • PosterLayout: A New Benchmark and Approach for Content-aware Visual-Textual Presentation Layout
    :star:code
  • Dense-Localizing Audio-Visual Events in Untrimmed Videos: A Large-Scale Benchmark and Baseline
  • ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning over Untrimmed Videos
    :house:project
  • Image Similarity
    • GeneCIS: A Benchmark for General Conditional Image Similarity
      :house:project
  • ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning over Untrimmed Videos
    :star:code
  • Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark
    :star:code
  • NewsNet: A Novel Benchmark for Hierarchical Temporal Segmentation
    :star:code
  • Ultra-High Resolution Segmentation With Ultra-Rich Context: A Novel Benchmark
    :star:code
  • PosterLayout: A New Benchmark and Approach for Content-Aware Visual-Textual Presentation Layout
    :star:code
  • Meta Omnium: A Benchmark for General-Purpose Learning-To-Learn
    :star:code
  • RefTeacher: A Strong Baseline for Semi-Supervised Referring Expression Comprehension
    :house:project

53.Sign Language (手语)

• Ham2Pose: Animating Sign Language Notation Into Pose Sequences
  :house:project
• 手语翻译
  • Gloss Attention for Gloss-Free Sign Language Translation
    :star:code
• 手语识别
  • Continuous Sign Language Recognition with Correlation Network
    :star:code
  • Reconstructing Signing Avatars From Video Using Linguistic Priors
    :house:project
  • Distilling Cross-Temporal Contexts for Continuous Sign Language Recognition
  • CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition With Variational Alignment
    :star:code
  • Natural Language-Assisted Sign Language Recognition
    :star:code
  • Continuous Sign Language Recognition With Correlation Network
    :star:code
• 手语检索
  • CiCo: Domain-Aware Sign Language Retrieval via Cross-Lingual Contrastive Learning
    :star:code

52.Human Motion(人体运动)

• Semi-Weakly Supervised Object Kinematic Motion Prediction
• The Wisdom of Crowds: Temporal Progressive Attention for Early Action Prediction
• MotionDiffuser: Controllable Multi-Agent Motion Prediction using Diffusion
• 人体运动预测
  • EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning
    :star:code
  • DeFeeNet: Consecutive 3D Human Motion Prediction with Deviation Feedback
  • Decompose More and Aggregate Better: Two Closer Looks at Frequency Representation Learning for Human Motion Prediction
• 人体运动合成
  • Generating Human Motion From Textual Descriptions With Discrete Representations
    :house:project
  • UDE: A Unified Driving Engine for Human Motion Generation
    :star:code
  • Mofusion: A Framework for Denoising-Diffusion-Based Motion Synthesis
    :house:project
  • MoDi: Unconditional Motion Synthesis From Diverse Data
• 3D HM
  • Generating Holistic 3D Human Motion from Speech
    :house:project

51.Computed Imaging(计算成像，如光学、几何、光场成像等)

• Physics-Guided ISO-Dependent Sensor Noise Modeling for Extreme Low-Light Photography
  :star:code
• TRACE: 5D Temporal Regression of Avatars With Dynamic Cameras in 3D Environments
  :star:code
• High-Fidelity Event-Radiance Recovery via Transient Event Frequency
  :star:code
• Real-Time Neural Light Field on Mobile Devices
  :house:project
• Accidental Light Probes
  :house:project
• DyLiN: Making Light Field Networks Dynamic
  :star:code
• Learning Rotation-Equivariant Features for Visual Correspondence
  :house:project
• Role of Transients in Two-Bounce Non-Line-of-Sight Imaging
• Revisiting Rolling Shutter Bundle Adjustment: Toward Accurate and Fast Solution
• 相机姿势估计
  • SliceMatch: Geometry-Guided Aggregation for Cross-View Pose Estimation
  • SparsePose: Sparse-View Camera Pose Regression and Refinement
  • Pose Synchronization Under Multiple Pair-Wise Relative Poses
  • Privacy-Preserving Representations Are Not Enough: Recovering Scene Content From Camera Poses
• 快门校正
  • EvShutter: Transforming Events for Unconstrained Rolling Shutter Correction
    :star:code
• 相机校准
  • Perspective Fields for Single Image Camera Calibration
    :house:project
• 几何估计
  • Adaptive Annealing for Robust Geometric Estimation
• 相机定位 *NeuMap: Neural Coordinate Mapping by Auto-Transdecoder for Camera Localization
  :star:code

50.Anomaly Detection(异常检测)

• Revisiting Reverse Distillation for Anomaly Detection
• SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection
• Prototypical Residual Networks for Anomaly Detection and Localization
• OpenMix: Exploring Outlier Samples for Misclassification Detection
  :star:code
• Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection
  :star:code
• Diversity-Measurable Anomaly Detection
• SimpleNet: A Simple Network for Image Anomaly Detection and Localization
  :star:code
• DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection
• WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation
• OOD
  • Uncertainty-Aware Optimal Transport for Semantically Coherent Out-of-Distribution Detection
    :star:code
  • Mind the Label Shift of Augmentation-Based Graph OOD Generalization
  • Block Selection Method for Using Feature Norm in Out-of-Distribution Detection
    :star:code
  • Distribution Shift Inversion for Out-of-Distribution Prediction
    :star:code
  • Are Data-Driven Explanations Robust Against Out-of-Distribution Data?
  • LINe: Out-of-Distribution Detection by Leveraging Important Neurons
  • Rethinking Out-of-Distribution (OOD) Detection: Masked Image Modeling Is All You Need
    :star:code
  • Balanced Energy Regularization Loss for Out-of-Distribution Detection
  • Decoupling MaxLogit for Out-of-Distribution Detection
  • Detection of Out-of-Distribution Samples Using Binary Neuron Activation Patterns
  • GEN: Pushing the Limits of Softmax-Based Out-of-Distribution Detection
    :star:code

49.Image Geo-localization(图像地理位置识别)

• Where We Are and What We're Looking At: Query Based Worldwide Image Geo-localization Using Hierarchies and Scenes

48.NLP(自然语言处理)

• Images Speak in Images: A Generalist Painter for In-Context Visual Learning
  :star:code
• CLIP-Sculptor: Zero-Shot Generation of High-Fidelity and Diverse Shapes From Natural Language
• 反讽检测(检测文本（或图像，如漫画等其他模态）中是否存在讽刺)
  • DIP: Dual Incongruity Perceiving Network for Sarcasm Detection
    :star:code
• NLQ
  • NaQ: Leveraging Narrations as Queries to Supervise Episodic Memory
    :star:code
• Visual Grounding(视觉指代)
  • Language Adaptive Weight Generation for Multi-Task Visual Grounding
• Referring Expression Comprehension(指代表达理解)
  • RefCLIP: A Universal Teacher for Weakly Supervised Referring Expression Comprehension
    :house:project

47.Few/Zero-Shot Learning/Domain Generalization/Adaptation(小/零样本/域泛化/域适应)

• DG
  • Towards Domain Generalization for Multi-view 3D Object Detection in Bird-Eye-View
  • Meta-Causal Learning for Single Domain Generalization
  • Bi-Level Meta-Learning for Few-Shot Domain Generalization
  • Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization
  • Federated Domain Generalization With Generalization Adjustment
    :star:code
  • Decompose, Adjust, Compose: Effective Normalization by Playing With Frequency for Domain Generalization
  • NICO++: Towards Better Benchmarking for Domain Generalization
    :star:code
  • Improved Test-Time Adaptation for Domain Generalization
    :star:code
  • Modality-Agnostic Debiasing for Single Domain Generalization
  • Neuron Structure Modeling for Generalizable Remote Physiological Measurement
    :star:code
  • Sharpness-Aware Gradient Matching for Domain Generalization
    :star:code
  • Improving Generalization with Domain Convex Game
  • Generalist: Decoupling Natural and Robust Generalization
    :star:code
  • ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-frequency Transform for Domain Generalization
    :star:code
  • Deep Frequency Filtering for Domain Generalization
  • Progressive Random Convolutions for Single Domain Generalization
  • Meta-causal Learning for Single Domain Generalization
• DA
  • Guiding Pseudo-labels with Uncertainty Estimation for Test-Time Adaptation
    :star:code
  • Class Relationship Embedded Learning for Source-Free Unsupervised Domain Adaptation
  • Semi-Supervised Domain Adaptation With Source Label Adaptation
  • SCoDA: Domain Adaptive Shape Completion for Real Scans
  • Divide and Adapt: Active Domain Adaptation via Customized Learning
  • Source-Free Video Domain Adaptation With Spatial-Temporal-Historical Consistency Learning
  • DARE-GRAM: Unsupervised Domain Adaptation Regression by Aligning Inverse Gram Matrices
    :star:code
  • Dual-Bridging With Adversarial Noise Generation for Domain Adaptive rPPG Estimation
  • MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
    :star:code
  • DATE: Domain Adaptive Product Seeker for E-commerce
    :star:code
  • Adjustment and Alignment for Unbiased Open Set Domain Adaptation
    :star:code
  • Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective
  • MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation
  • COT: Unsupervised Domain Adaptation with Clustering and Optimal Transport
  • Upcycling Models under Domain and Category Shift
    :star:code
  • C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation
  • TeSLA: Test-Time Self-Learning With Automatic Adversarial Augmentation
    :star:code
  • OSAN: A One-Stage Alignment Network to Unify Multimodal Alignment and Unsupervised Domain Adaptation
  • MOT: Masked Optimal Transport for Partial Domain Adaptation
  • Feature Alignment and Uniformity for Test Time Adaptation
• ZSL
  • Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning
    :star:code
  • Progressive Semantic-Visual Mutual Adaption for Generalized Zero-Shot Learning
    :star:code
  • Learning Attention as Disentangler for Compositional Zero-shot Learning
    :star:code
  • Zero-shot Model Diagnosis
  • Learning Conditional Attributes for Compositional Zero-Shot Learning
    :star:code
  • (ML)$^2$P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning
    :star:code
  • Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning
• FSL
  • Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph Refinement
  • Prompt, Generate, Then Cache: Cascade of Foundation Models Makes Strong Few-Shot Learners
    :star:code
  • Revisiting Prototypical Network for Cross Domain Few-Shot Learning
    :star:code
  • Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning With Multimodal Models
    :house:project
  • Open-Set Likelihood Maximization for Few-Shot Learning
  • StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning
    :star:code

46.Scene Graph Generation(场景图生成)

• Unbiased Scene Graph Generation in Videos
• Prototype-Based Embedding Network for Scene Graph Generation
• IS-GGT: Iterative Scene Graph Generation With Generative Transformers
• Prototype-based Embedding Network for Scene Graph Generation
  :star:code
• Devil's on the Edges: Selective Quad Attention for Scene Graph Generation
  :house:project
• Learning To Generate Language-Supervised and Open-Vocabulary Scene Graph Using Pre-Trained Visual-Semantic Space
• Panoptic Video Scene Graph Generation
• Fast Contextual Scene Graph Generation With Unbiased Context Augmentation

45.Dense Prediction(密集预测)

• Ensemble-Based Blackbox Attacks on Dense Prediction
  :star:code
• DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction
• Ensemble-based Blackbox Attacks on Dense Prediction
  :star:code
• Probabilistic Prompt Learning for Dense Prediction
• 1% VS 100%: Parameter-Efficient Low Rank Adapter for Dense Predictions
• DPF: Learning Dense Prediction Fields With Weak Supervision
  :star:code
• 密集检测
  • One-to-Few Label Assignment for End-to-End Dense Detection
    :star:code
• 密集目标定位
  • Learning Multi-Modal Class-Specific Tokens for Weakly Supervised Dense Object Localization
    :star:code

44.Federated Learning(联邦学习)

• Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization
• Federated Learning With Data-Agnostic Distribution Fusion
• How To Prevent the Poor Performance Clients for Personalized Federated Learning?
• GradMA: A Gradient-Memory-Based Accelerated Federated Learning With Alleviated Catastrophic Forgetting
• Bias-Eliminating Augmentation Learning for Debiased Federated Learning
• Make Landscape Flatter in Differentially Private Federated Learning
• The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning
• Rethinking Federated Learning With Domain Shift: A Prototype View
  :star:code
• On the Effectiveness of Partial Variance Reduction in Federated Learning With Heterogeneous Data
• Elastic Aggregation for Federated Optimization
• FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning
• Adaptive Channel Sparsity for Federated Learning Under System Heterogeneity
• ScaleFL: Resource-Adaptive Federated Learning With Heterogeneous Clients
• Reliable and Interpretable Personalized Federated Learning

43.Multi-Task Learning(多任务学习)

• Independent Component Alignment for Multi-Task Learning
• Dynamic Neural Network for Multi-Task Learning Searching Across Diverse Network Topologies
• AdaMTL: Adaptive Input-dependent Inference for Efficient Multi-Task Learning
  :star:code
• Mod-Squad: Designing Mixtures of Experts As Modular Multi-Task Learners
  :house:project
• Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing With Non-Learnable Primitives
  :star:code
• Hierarchical Prompt Learning for Multi-Task Learning

42.Metric Learning(度量学习)

• Advancing Deep Metric Learning Through Multiple Batch Norms And Multi-Targeted Adversarial Examples
• Deep Factorized Metric Learning
  :star:code
• Deep Semi-Supervised Metric Learning With Mixed Label Propagation
• Cross-Image-Attention for Conditional Embeddings in Deep Metric Learning

41.Incremental Learning(增量学习)

• Decoupling Learning and Remembering: A Bilevel Memory Framework With Knowledge Projection for Task-Incremental Learning
  :star:code
• AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning
  :star:code
• GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task
• 类增量学习
  • Dense Network Expansion for Class Incremental Learning
  • Class-Incremental Exemplar Compression for Class-Incremental Learning
    :star:code
  • Rebalancing Batch Normalization for Exemplar-based Class-Incremental Learning
  • Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning
    :star:code
  • On the Stability-Plasticity Dilemma of Class-Incremental Learning
  • Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation
    :star:code
  • Multi-Centroid Task Descriptor for Dynamic Class Incremental Inference
  • DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning
    :star:code
  • Learning With Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning
  • CafeBoost: Causal Feature Boost To Eliminate Task-Induced Bias for Class Incremental Learning

40.Adversarial Learning(对抗学习)

• Adversarial Robustness via Random Projection Filters
• Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts
• Dynamic Generative Targeted Attacks With Pattern Injection
• FIANCEE: Faster Inference of Adversarial Networks via Conditional Early Exits
• Enhancing the Self-Universality for Transferable Targeted Attacks
  :star:code
• Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization
  :house:project
• Revisiting Residual Networks for Adversarial Robustness
  :star:code
• Feature Separation and Recalibration for Adversarial Robustness
  :star:code
• CFA: Class-wise Calibrated Fair Adversarial Training
  :star:code
• Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations
  :house:project
• Efficient Loss Function by Minimizing the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks
• 黑盒
  • BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning
    :star:code
  • Black-Box Sparse Adversarial Attack via Multi-Objective Optimisation
  • Reinforcement Learning-Based Black-Box Model Inversion Attacks
  • Minimizing Maximum Model Discrepancy for Transferable Black-Box Targeted Attacks
• 对抗样本
  • Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression
  • Introducing Competition To Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup
    :star:code
  • Towards Transferable Targeted Adversarial Examples
  • Improving the Transferability of Adversarial Samples by Path-Augmented Method
  • Increasing the Latency of LiDAR-Based Detection Using Adversarial Examples
    :star:code
• 后门攻击
  • Single Image Backdoor Inversion via Robust Smoothed Classifiers
    :star:code
  • Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency
  • You Are Catching My Attention: Are Vision Transformers Bad Learners Under Backdoor Attacks?
  • MEDIC: Remove Model Backdoors via Importance Driven Cloning
    :star:code
  • Backdoor Defense via Adaptively Splitting Poisoned Dataset
    :star:code
  • Detecting Backdoors in Pre-trained Encoders
    :star:code
  • Color Backdoor: A Robust Poisoning Attack in Color Space
  • Detecting Backdoors in Pre-Trained Encoders
    :star:code
• 对抗攻击
  • Adversarial Attack with Raindrops
  • Progressive Backdoor Erasing via Connecting Backdoor and Adversarial Attacks
  • Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attacks
  • The Best Defense Is a Good Offense: Adversarial Augmentation Against Adversarial Attacks
  • Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization
  • Robust Single Image Reflection Removal Against Adversarial Attacks
  • Transferable Adversarial Attacks on Vision Transformers With Token Gradient Regularization
    :star:code
  • StyLess: Boosting the Transferability of Adversarial Examples
  • Re-thinking Model Inversion Attacks Against Deep Neural Networks
    :star:code
  • Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning
    :star:code
  • Jedi: Entropy-based Localization and Removal of Adversarial Patches
• 后门防御
  • Backdoor Defense via Deconfounded Representation Learning
    :star:code
• 对抗训练
  • The Enemy of My Enemy Is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training
  • Randomized Adversarial Training via Taylor Expansion
    :star:code
  • AGAIN: Adversarial Training With Attribution Span Enlargement and Hybrid Feature Fusion

39.Continual Learning(持续学习)

• Dealing With Cross-Task Class Discrimination in Online Continual Learning
• Heterogeneous Continual Learning
• Batch Model Consolidation: A Multi-Task Model Consolidation Framework
• CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning
  :star:code
• Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning
  :star:code
• Computationally Budgeted Continual Learning: What Does Matter?
  :star:code
• Achieving a Better Stability-Plasticity Trade-Off via Auxiliary Networks in Continual Learning
• Preserving Linear Separability in Continual Learning by Backward Feature Projection
• Regularizing Second-Order Influences for Continual Learning
  :star:code
• Rethinking Gradient Projection Continual Learning: Stability / Plasticity Feature Space Decoupling
• MetaMix: Towards Corruption-Robust Continual Learning With Temporally Self-Adaptive Data Transformation
• Exploring Data Geometry for Continual Learning
• PCR: Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning
• Bilateral Memory Consolidation for Continual Learning
• Adaptive Plasticity Improvement for Continual Learning
• Real-Time Evaluation in Online Continual Learning: A New Hope
• PIVOT: Prompting for Video Continual Learning

38.Meta-Learning(元学习)

• Meta-Learning with a Geometry-Adaptive Preconditioner
  :star:code元学习
• Improving Generalization of Meta-Learning With Inverted Regularization at Inner-Level
• Ground-Truth Free Meta-Learning for Deep Compressive Sampling
• HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization
• Panoptic Compositional Feature Field for Editable Scene Rendering With Network-Inferred Labels via Metric Learning

37.Contrastive Learning(对比学习)

• Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning
• Difficulty-Based Sampling for Debiased Contrastive Representation Learning
• MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image Pretraining
  :star:code
• Twin Contrastive Learning with Noisy Labels
  :star:code
• Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens
• Best of Both Worlds: Multimodal Contrastive Learning With Tabular and Imaging Data
• CLAMP: Prompt-Based Contrastive Learning for Connecting Language and Animal Pose
• ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-Real Novel View Synthesis via Contrastive Learning
• Hyperbolic Contrastive Learning for Visual Representations beyond Objects
  :star:code
• 非对比学习
  • Non-Contrastive Learning Meets Language-Image Pre-Training

36.Optical Flow(光流估计)

• Rethinking Optical Flow from Geometric Matching Consistent Perspective
  :star:code
• DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling
• AnyFlow: Arbitrary Scale Optical Flow with Implicit Neural Representation
• TransFlow: Transformer as Flow Learner
• Tangentially Elongated Gaussian Belief Propagation for Event-Based Incremental Optical Flow Estimation
  :star:code
• FlowFormer++: Masked Cost Volume Autoencoding for Pretraining Optical Flow Estimation

35.OCR

• 文本识别
  • Self-Supervised Implicit Glyph Attention for Text Recognition
• 场景文本检测
  • Turning a CLIP Model into a Scene Text Detector
    :star:code
• 表格结构识别
  • Improving Table Structure Recognition with Visual-Alignment Sequential Coordinate Modeling
• 字体生成
  • CF-Font: Content Fusion for Few-shot Font Generation
    :star:code
  • Neural Transformation Fields for Arbitrary-Styled Font Generation
    :star:code
  • DualVector: Unsupervised Vector Font Synthesis with Dual-Part Representation
    :star:code
• 手写文本生成
  • Disentangling Writer and Character Styles for Handwriting Generation
    :star:code
  • Handwritten Text Generation from Visual Archetypes
• 矢量字体合成
  • DeepVecFont-v2: Exploiting Transformers to Synthesize Vector Fonts with Higher Quality
    :star:code
• 生成图形文档
  • Towards Flexible Multi-modal Document Models
    :star:code
• 文本检测
  • Towards Robust Tampered Text Detection in Document Image: New Dataset and New Solution
    :star:code
• 文档处理
  • Unifying Vision, Text, and Layout for Universal Document Processing
• Scene Text Spotting
  • Towards Unified Scene Text Spotting based on Sequence Generation
    :star:code
  • Towards Unified Scene Text Spotting based on Sequence Generation
    :star:code
  • DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting
    :star:code

34.Model Compression/Knowledge Distillation/Pruning(模型压缩/知识蒸馏/剪枝)

• Network Expansion for Practical Training Acceleration
  :star:code
• Accelerating Dataset Distillation via Model Augmentation
• Run, Don’t Walk: Chasing Higher FLOPS for Faster Neural Networks
  :star:code
• 量化
  • Solving Oscillation Problem in Post-Training Quantization Through a Theoretical Perspective
    :star:code
  • Adaptive Data-Free Quantization
    :star:code
  • Defining and Quantifying the Emergence of Sparse Concepts in DNNs
  • NIPQ: Noise Proxy-Based Integrated Pseudo-Quantization
  • Bit-Shrinking: Limiting Instantaneous Sharpness for Improving Post-Training Quantization
  • Genie: Show Me the Data for Quantization
  • One-Shot Model for Mixed-Precision Quantization
  • Post-training Quantization on Diffusion Models
    :star:code
  • Q-DETR: An Efficient Low-Bit Quantized Detection Transformer
    :star:code
  • NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers
  • PD-Quant: Post-Training Quantization Based on Prediction Difference Metric
    :star:code
  • Boost Vision Transformer with GPU-Friendly Sparsity and Quantization
• 剪枝
  • CP$^3$: Channel Pruning Plug-in for Point-based Networks
  • Bias in Pruned Vision Models: In-Depth Analysis and Countermeasures
  • Global Vision Transformer Pruning With Hessian-Aware Saliency
  • X-Pruner: eXplainable Pruning for Vision Transformers
    :star:code
  • DepGraph: Towards Any Structural Pruning
  • Progressive Neighbor Consistency Mining for Correspondence Pruning
    :star:code
  • Training Debiased Subnetworks With Contrastive Weight Pruning
• MC
  • Hard Sample Matters a Lot in Zero-Shot Quantization
• KD
  • DisWOT: Student Architecture Search for Distillation WithOut Training
    :star:code
  • Data-Free Knowledge Distillation via Feature Exchange and Activation Region Constraint
  • Supervised Masked Knowledge Distillation for Few-Shot Transformers
    :star:code
  • Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation
    :star:code
  • KD-DLGAN: Data Limited Image Generation via Knowledge Distillation
  • TinyMIM: An Empirical Study of Distilling MIM Pre-Trained Models(https://github.com/OliverRensu/TinyMIM)
  • Masked Autoencoders Enable Efficient Knowledge Distillers
    :star:[code]
    :star:code
  • Multi-Mode Online Knowledge Distillation for Self-Supervised Visual Representation Learning
  • Class Attention Transfer Based Knowledge Distillation
    :star:code
  • DaFKD: Domain-Aware Federated Knowledge Distillation
  • Multi-Level Logit Distillation
    :star:code
  • A Unified Knowledge Distillation Framework for Deep Directed Graphical Models
    :star:code
  • Enhanced Multimodal Representation Learning with Cross-modal KD
  • Constructing Deep Spiking Neural Networks From Artificial Neural Networks With Knowledge Distillation
  • Learning To Retain While Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation
  • 对抗性蒸馏
    • Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation
• 轻量级网络
  • FeatureBooster: Boosting Feature Descriptors with a Lightweight Neural Network
    :star:code
• 去量化
  • ABCD: Arbitrary Bitwise Coefficient for De-Quantization

33.Human-Object Interaction(人物交互)

• Visibility Aware Human-Object Interaction Tracking From Single RGB Camera
• Affordance Diffusion: Synthesizing Hand-Object Interactions
• HOICLIP: Efficient Knowledge Transfer for HOI Detection With Vision-Language Models
  :star:code
• ViPLO: Vision Transformer Based Pose-Conditioned Self-Loop Graph for Human-Object Interaction Detection
  :star:code
• Open-Category Human-Object Interaction Pre-Training via Language Modeling Framework
• Detecting Human-Object Contact in Images
  :house:project
• Category Query Learning for Human-Object Interaction Classification
• Gazeformer: Scalable, Effective and Fast Prediction of Goal-Directed Human Attention
• Relational Context Learning for Human-Object Interaction Detection
• HOICLIP: Efficient Knowledge Transfer for HOI Detection with Vision-Language Models
  :star:code
• ViPLO: Vision Transformer based Pose-Conditioned Self-Loop Graph for Human-Object Interaction Detection
  :star:code
• Visibility Aware Human-Object Interaction Tracking from Single RGB Camera
  :house:project
• Instant-NVR: Instant Neural Volumetric Rendering for Human-object Interactions from Monocular RGBD Stream
• A Neural Modeling Pipeline on Multi-View Human-Object Interactions
• 双手交互
  • Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes
    :star:code
• 手物交互
  • Visual-Tactile Sensing for In-Hand Object Reconstruction
    :house:project
  • CAMS: CAnonicalized Manipulation Spaces for Category-Level Functional Hand-Object Manipulation Synthesis
    :star:code
  • Transformer-Based Unified Recognition of Two Hands Manipulating Objects

32.Data Augmentation(数据增强)

• Full or Weak annotations? An adaptive strategy for budget-constrained annotation campaigns
• SLACK: Stable Learning of Augmentations With Cold-Start and KL Regularization
  :star:code
• 学习库
  • PyPose: A Library for Robot Learning With Physics-Based Optimization
• 关键点定位
  • Few-shot Geometry-Aware Keypoint Localization
    :star:code
• 关键点检测
  • Continuous Landmark Detection With 3D Queries

31.Vision-Language(视觉语言)

• Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images
• InternImage: Exploring Large-Scale Vision Foundation Models With Deformable Convolutions
• GIVL: Improving Geographical Inclusivity of Vision-Language Models With Pre-Training Methods
• Learning To Exploit Temporal Structure for Biomedical Vision-Language Processing
• REVEAL: Retrieval-Augmented Visual-Language Pre-Training With Multi-Source Multimodal Knowledge Memory
• Policy Adaptation from Foundation Model Feedback
  :house:project
• Learning Visual Representations via Language-Guided Sampling
• LASP: Text-to-Text Optimization for Language-Aware Soft Prompting of Vision & Language Models
• Scaling Language-Image Pre-Training via Masking
• MAP: Multimodal Uncertainty-Aware Vision-Language Pre-Training Model
• Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles
  :star:code
• Few-Shot Learning With Visual Distribution Calibration and Cross-Modal Distribution Alignment
  :star:code
• ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
  :star:code
• Teaching Structured Vision & Language Concepts to Vision & Language Models
  :star:code
• Leveraging per Image-Token Consistency for Vision-Language Pre-Training
• Image as a Foreign Language: BEiT Pretraining for Vision and Vision-Language Tasks
  :house:project
• CREPE: Can Vision-Language Foundation Models Reason Compositionally?
• Open-vocabulary Attribute Detection
  :house:project
• Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training
  :star:code
• FashionSAP: Symbols and Attributes Prompt for Fine-Grained Fashion Vision-Language Pre-Training
• Exploring the Effect of Primitives for Compositional Generalization in Vision-and-Language
• Task Residual for Tuning Vision-Language Models
  :star:code
• Masked Autoencoding Does Not Help Natural Language Supervision at Scale
• Open-Set Fine-Grained Retrieval via Prompting Vision-Language Evaluator
• Visual-Language Prompt Tuning With Knowledge-Guided Context Optimization
• Position-Guided Text Prompt for Vision-Language Pre-Training
  :star:code
• RA-CLIP: Retrieval Augmented Contrastive Language-Image Pre-Training
• FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks
  :star:code
• Seeing What You Miss: Vision-Language Pre-Training With Semantic Completion Learning
• You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model
• DeAR: Debiasing Vision-Language Models with Additive Residuals
• Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning
• Is BERT Blind? Exploring the Effect of Vision-and-Language Pretraining on Visual Language Understanding
  :star:code
• VILA: Learning Image Aesthetics from User Comments with Vision-Language Pretraining
• MAGVLT: Masked Generative Vision-and-Language Transformer
• Visual-Language Prompt Tuning with Knowledge-guided Context Optimization
• Top-Down Visual Attention from Analysis by Synthesis
  :house:project
• Accelerating Vision-Language Pretraining with Free Language Modeling
  :star:code
• Multi-Modal Representation Learning with Text-Driven Soft Masks
• Fine-tuned CLIP models are efficient video learners
  :star:code
• MaPLe: Multi-modal Prompt Learning
  :star:code
• Learning to Name Classes for Vision and Language Models
• Dynamic Inference With Grounding Based Vision and Language Models
• Connecting Vision and Language with Video Localized Narratives
  :house:project
• Bidirectional Cross-Modal Knowledge Exploration for Video Recognition With Pre-Trained Vision-Language Models
  :star:code
• Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks
  :star:code
• VILA: Learning Image Aesthetics From User Comments With Vision-Language Pretraining
  :star:code
• VLN
  • Meta-Explore: Exploratory Hierarchical Vision-and-Language Navigation Using Scene Object Spectrum Grounding
    :house:project
  • Lana: A Language-Capable Navigator for Instruction Following and Generation
    :star:code
  • LANA: A Language-Capable Navigator for Instruction Following and Generation
  • KERM: Knowledge Enhanced Reasoning for Vision-and-Language Navigation
    :star:code
  • Improving Vision-and-Language Navigation by Generating Future-View Image Semantics
    :star:code
  • Iterative Vision-and-Language Navigation
  • Behavioral Analysis of Vision-and-Language Navigation Agents
  • Adaptive Zone-Aware Hierarchical Planner for Vision-Language Navigation
  • GeoVLN: Learning Geometry-Enhanced Visual Representation With Slot Attention for Vision-and-Language Navigation
  • A New Path: Scaling Vision-and-Language Navigation With Synthetic Instructions and Imitation Learning
  • Layout-Based Causal Inference for Object Navigation
    :star:code
  • KERM: Knowledge Enhanced Reasoning for Vision-and-Language Navigation
• 视频语言
  • Test of Time: Instilling Video-Language Models with a Sense of Time
    :house:project
  • All in One: Exploring Unified Video-Language Pre-Training
    :star:code
  • HierVL: Learning Hierarchical Video-Language Embeddings
  • An Empirical Study of End-to-End Video-Language Transformers With Masked Visual Modeling
    :star:code
  • Clover: Towards A Unified Video-Language Alignment and Fusion Model
    :star:code
    Clover 视频-文本预训练模型在 DiDeMo、MSRVTT 和 LSMDC 三个文本-视频检索任务上取得了 zero-shot 及 finetune performance 的最佳表现；在 8 个主流的视频问答 benchmark 上也达到了新的 state-of-the-art。
  • VindLU: A Recipe for Effective Video-and-Language Pretraining
    :star:code
• LLM
  • Learning Video Representations From Large Language Models
• visual grounding
  • EDA: Explicit Text-Decoupling and Dense Alignment for 3D Visual Grounding
    :star:code
• 视觉对话
  • The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training

30.Visual Answer Questions(视觉问答)

• VQA
  • SimVQA: Exploring Simulated Environments for Visual Question Answering
    :house:project
  • From Images to Textual Prompts: Zero-Shot Visual Question Answering With Frozen Large Language Models
  • Logical Implications for Visual Question Answering Consistency
  • S3C: Semi-Supervised VQA Natural Language Explanation via Self-Critical Learning
  • RMLVQA: A Margin Loss Approach for Visual Question Answering With Language Biases
    :star:code
  • VQACL: A Novel Visual Question Answering Continual Learning Setting
    :star:code
  • Q: How To Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images!
    :star:code
  • Improving Selective Visual Question Answering by Learning From Your Peers
    :star:code
  • MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-Resource Visual Question Answering
  • Prompting Large Language Models with Answer Heuristics for Knowledge-based Visual Question Answering
    :star:code
  • MD-VQA: Multi-Dimensional Quality Assessment for UGC Live Videos
  • Divide and Conquer: Answering Questions with Object Factorization and Compositional Reasoning
    :star:code
  • Prompting Large Language Models With Answer Heuristics for Knowledge-Based Visual Question Answering
    :star:code
  • Generative Bias for Robust Visual Question Answering
• Video-QA
  • Learning Situation Hyper-Graphs for Video Question Answering
  • Discovering the Real Association: Multimodal Causal Reasoning in Video Question Answering
    :star:code
  • MIST: Multi-Modal Iterative Spatial-Temporal Transformer for Long-Form Video Question Answering

29.SLAM/Augmented Reality/Virtual Reality/Robotics(增强/虚拟现实/机器人)

• 机器人
  • PartManip: Learning Cross-Category Generalizable Part Manipulation Policy from Point Cloud Observations
  • Affordances From Human Videos as a Versatile Representation for Robotics
  • Markerless Camera-to-Robot Pose Estimation via Self-supervised Sim-to-Real Transfer
  • Robot Structure Prior Guided Temporal Attention for Camera-to-Robot Pose Estimation From Image Sequence
    :house:project
  • Phone2Proc: Bringing Robust Robots Into Our Chaotic World
    :house:project
  • DexArt: Benchmarking Generalizable Dexterous Manipulation with Articulated Objects
    :house:project
  • Learning Human-to-Robot Handovers from Point Clouds
    :star:code
  • Neural Volumetric Memory for Visual Locomotion Control
    :star:code
  • Affordances from Human Videos as a Versatile Representation for Robotics
    :star:code
  • NeuralField-LDM: Scene Generation with Hierarchical Latent Diffusion Models机器人
  • 机器手抓取
    • UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy
      :house:project
    • UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning
    • Target-Referenced Reactive Grasping for Dynamic Objects
      :house:project
  • Visual Navigation(视觉导航)
    • Renderable Neural Radiance Map for Visual Navigation
    • Object-Goal Visual Navigation via Effective Exploration of Relations Among Historical Navigation States
• SLAM
  • Efficient Map Sparsification Based on 2D and 3D Discretized Grids
    :star:code
  • Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM
    :star:code
  • ESLAM: Efficient Dense SLAM System Based on Hybrid Representation of Signed Distance Fields
    :house:project
  • ObjectMatch: Robust Registration Using Canonical Object Correspondences
    :house:project
  • vMAP: Vectorised Object Mapping for Neural Field SLAM
    :house:project
• 虚拟试穿
  • GP-VTON: Towards General Purpose Virtual Try-on via Collaborative Local-Flow Global-Parsing Learning
    :star:code
  • TryOnDiffusion: A Tale of Two UNets
  • Linking Garment With Person via Semantically Associated Landmarks for Virtual Try-On
    :house:project
  • Synthesizing Photorealistic Virtual Humans Through Cross-Modal Disentanglement
• AR/VR
  • Affordance Grounding from Demonstration Video to Target Image
    :star:code
  • GarmentTracking: Category-Level Garment Pose Tracking
    :house:project
  • Object Pop-Up: Can We Infer 3D Objects and Their Poses From Human Interactions Alone?
  • Learning to Zoom and Unzoom
    :star:code
  • Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence
  • Avatars Grow Legs: Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model
    :star:codeVR/AR
  • Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-Time Mobile Telepresence
  • Affordance Grounding From Demonstration Video To Target Image
    :star:code
  • Hand Avatar: Free-Pose Hand Animation and Rendering from Monocular Video
    :house:project
• 混合现实
  • MixSim: A Hierarchical Framework for Mixed Reality Traffic Simulation
    :house:project
• Visual Localization(视觉定位)
  • OrienterNet: Visual Localization in 2D Public Maps with Neural Matching
  • Visual Localization using Imperfect 3D Models from the Internet
  • SFD2: Semantic-Guided Feature Detection and Description
    :star:code
  • SegLoc: Learning Segmentation-Based Representations for Privacy-Preserving Visual Localization
  • Long-term Visual Localization with Mobile Sensors
  • Paired-Point Lifting for Enhanced Privacy-Preserving Visual Localization
• VPR(Visual Place Recognition)
  • StructVPR: Distill Structural Knowledge With Weighting Samples for Visual Place Recognition
  • Data-efficient Large Scale Place Recognition with Graded Similarity Supervision
    :star:code
• 视觉里程计
  • PVO: Panoptic Visual Odometry
    :star:code
  • Modality-Invariant Visual Odometry for Embodied Vision

28.Style Transfer(风格迁移)

• CAP-VSTNet: Content Affinity Preserved Versatile Style Transfer
• StyleGAN Salon: Multi-View Latent Optimization for Pose-Invariant Hairstyle Transfer
  :star:code
• Modernizing Old Photos Using Multiple References via Photorealistic Style Transfer
  :star:code
• Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer
• Neural Preset for Color Style Transfer
  :house:project
• Learning Dynamic Style Kernels for Artistic Style Transfer
• Inversion-Based Style Transfer With Diffusion Models
  :star:code
• QuantArt: Quantizing Image Style Transfer Towards High Visual Fidelity
  :star:code
• 文本驱动的室内风格化
  • Text2Scene: Text-Driven Indoor Scene Stylization With Part-Aware Details

27.Pose Estimation(物体姿势估计)

• 物体姿势估计
  • Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation
  • SMOC-Net: Leveraging Camera Pose for Self-Supervised Monocular Object Pose Estimation
  • HS-Pose: Hybrid Scope Feature Extraction for Category-level Object Pose Estimation
  • TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation
    :house:project
  • IMP: Iterative Matching and Pose Estimation with Adaptive Pooling
    :star:code
• 6D
  • Rigidity-Aware Detection for 6D Object Pose Estimation
  • Neural Texture Learning for Self-Supervised 6D Object Pose Estimation
  • Shape-Constraint Recurrent Flow for 6D Object Pose Estimation
  • Knowledge Distillation for 6D Pose Estimation by Aligning Distributions of Local Predictions
  • HyperReel: High-Fidelity 6-DoF Video with Ray-Conditioned Sampling
    :house:project
• 4D
  • Transfer4D: A Framework for Frugal Motion Capture and Deformation Transfer
• 动物姿态估计
  • ScarceNet: Animal Pose Estimation with Scarce Annotations
  • Matching Is Not Enough: A Two-Stage Framework for Category-Agnostic Pose Estimation
    :star:code
  • BITE: Beyond Priors for Improved Three-D Dog Pose Estimation
    :house:project

26.GCN/GNN

• GNN
  • Turning Strengths Into Weaknesses: A Certified Robustness Inspired Attack Framework Against Graph Neural Networks
  • From Node Interaction To Hop Interaction: New Effective and Scalable Graph Learning Paradigm
    :star:code

25.Fine-Grained/Image Classification(细粒度/图像分类)

• Quantum-Inspired Spectral-Spatial Pyramid Network for Hyperspectral Image Classification
• Learning Partial Correlation Based Deep Visual Representation for Image Classification
• iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual Recognition
• I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification
• Soft Augmentation for Image Classification
  :star:code
• Explaining Image Classifiers With Multiscale Directional Image Representation
• Equiangular Basis Vectors
  :star:code
• Prefix Conditioning Unifies Language and Label Supervision
• Improving Image Recognition by Retrieving from Web-Scale Image-Text Data
• Boosting Verified Training for Robust Image Classifications via Abstraction
  :star:code
• Semantic Prompt for Few-Shot Image Recognition
• Regularization of polynomial networks for image recognition
  :star:code
• Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm
  :star:code
• Dynamic Conceptional Contrastive Learning for Generalized Category Discovery
  :star:code
• Learning Bottleneck Concepts in Image Classification
  :house:project
  :star:code
• Learning Partial Correlation based Deep Visual Representation for Image Classification
• PIP-Net: Patch-Based Intuitive Prototypes for Interpretable Image Classification
  :star:code
• Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification
• 小样本图像分类
  • ProD: Prompting-To-Disentangle Domain Knowledge for Cross-Domain Few-Shot Image Classification
• 小样本分类
  • Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners
    :star:code
  • Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings
    :star:code
  • Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation
• 细粒度
  • Learning Common Rationale to Improve Self-Supervised Representation for Fine-Grained Visual Recognition Problems
    :star:code
  • Fine-Grained Classification with Noisy Labels
  • An Erudite Fine-Grained Visual Classification Model
    :star:code
  • Weakly Supervised Posture Mining for Fine-Grained Classification
  • Learning Attribute and Class-Specific Representation Duet for Fine-Grained Fashion Analysis
• 视觉识别
  • Adapting Shortcut With Normalizing Flow: An Efficient Tuning Framework for Visual Recognition
• 长尾分类
  • Curvature-Balanced Feature Manifold Learning for Long-Tailed Classification
• 长尾视觉识别
  • SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail
  • Balanced Product of Calibrated Experts for Long-Tailed Recognition
    :star:code
  • FCC: Feature Clusters Compression for Long-Tailed Visual Recognition
    :star:code
  • Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment
    :star:code
  • Global and Local Mixture Consistency Cumulative Learning for Long-tailed Visual Recognitions
    :star:code
  • Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation
  • Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition
    :star:code
  • No One Left Behind: Improving the Worst Categories in Long-Tailed Learning
• 多标签分类
  • Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification
    :star:code
• 多标签识别
  • Exploring Structured Semantic Prior for Multi Label Recognition With Incomplete Labels
    :star:code
  • Texts as Images in Prompt Tuning for Multi-Label Image Recognition
    :star:code
• 多视觉分类
  • Exploring and Exploiting Uncertainty for Incomplete Multi-View Classification
• Superclass Learning(超类学习)
  • Superclass Learning with Representation Enhancement
• 材料分类
  • Thermal Spread Functions (TSF): Physics-Guided Material Classification

24.Super-Resolution(超分辨率)

• Cascaded Local Implicit Transformer for Arbitrary-Scale Super-Resolution
• Deep Arbitrary-Scale Image Super-Resolution via Scale-Equivariance Pursuit
• N-Gram in Swin Transformers for Efficient Lightweight Image Super-Resolution
  :star:code
• Perception-Oriented Single Image Super-Resolution Using Optimal Objective Estimation
  :star:code
• Toward Stable, Interpretable, and Lightweight Hyperspectral Super-Resolution
• CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution
• Zero-Shot Dual-Lens Super-Resolution
  :star:code
• Non-Line-of-Sight Imaging With Signal Superresolution Network
• Kernel Aware Resampler
• RobustNeRF: Ignoring Distractors With Robust Losses
• 光场超分辨率
  • CutMIB: Boosting Light Field Super-Resolution via Multi-View Image Blending
    :star:code
• ISR
  • OPE-SR: Orthogonal Position Encoding for Designing a Parameter-free Upsampling Module in Arbitrary-scale Image Super-Resolution
  • Activating More Pixels in Image Super-Resolution Transformer
    :star:code
  • Equivalent Transformation and Dual Stream Network Construction for Mobile Image Super-Resolution
    :star:code
  • Learning Generative Structure Prior for Blind Text Image Super-Resolution
  • Human Guided Ground-Truth Generation for Realistic Image Super-Resolution
    :star:code
  • OSRT: Omnidirectional Image Super-Resolution With Distortion-Aware Transformer
    :star:code
  • CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network with Large Input
  • Memory-Friendly Scalable Super-Resolution via Rewinding Lottery Ticket Hypothesis
  • B-Spline Texture Coefficients Estimator for Screen Content Image Super-Resolution
    :star:code
  • Rethinking Image Super Resolution From Long-Tailed Distribution Learning Perspective
  • Correspondence Transformers With Asymmetric Feature Learning and Matching Flow Super-Resolution
    :star:code
  • Toward Accurate Post-Training Quantization for Image Super Resolution
    :star:code
  • Image Super-Resolution Using T-Tetromino Pixels
  • Spectral Bayesian Uncertainty for Image Super-Resolution
  • Super-Resolution Neural Operator
    :star:code
  • Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution
  • Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution
  • Human Guided Ground-truth Generation for Realistic Image Super-resolution
    :star:code
  • Implicit Diffusion Models for Continuous Super-Resolution
  • Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution
  • Guided Depth Super-Resolution by Deep Anisotropic Diffusion
    :star:code
  • Omni Aggregation Networks for Lightweight Image Super-Resolution
    :star:code
• VSR
  • Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting
    :star:code
  • Compression-Aware Video Super-Resolution
    :star:code
  • Structured Sparsity Learning for Efficient Video Super-Resolution
    :star:code
  • Consistent Direct Time-of-Flight Video Depth Super-Resolution
    :star:code
  • Learning Spatial-Temporal Implicit Neural Representations for Event-Guided Video Super-Resolution
• 文本图像超分辨率
  • Learning Generative Structure Prior for Blind Text Image Super-resolution
    :star:code
• Image Resampling(图像重采样)
  • Learning Steerable Function for Efficient Image Resampling

23.Image Retrieval(图像检索)

• Towards a Smaller Student: Capacity Dynamic Distillation for Efficient Image Retrieval
• Asymmetric Feature Fusion for Image Retrieval
• Improving Image Recognition by Retrieving From Web-Scale Image-Text Data
• Boundary-aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval
  :star:code
• Revisiting Self-Similarity: Structural Embedding for Image Retrieval
  :star:code
• Train/Test-Time Adaptation With Retrieval
• Pic2Word: Mapping Pictures to Words for Zero-Shot Composed Image Retrieval
  :star:code
• 基于草图的图像检索
  • Data-Free Sketch-Based Image Retrieval
    :star:code
  • CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not
  • Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR
    :star:code
  • Zero-Shot Everything Sketch-Based Image Retrieval, and in Explainable Style
    :star:code
• 视频-文本检索
  • Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning
    :star:code
  • Dual Alignment Unsupervised Domain Adaptation for Video-Text Retrieval
• 视频-文本
  • SViTT: Temporal Learning of Sparse Video-Text Transformers
    :house:project视频文本检索和问答
• 多模态检索
  • ImageBind: One Embedding Space To Bind Them All
    :house:project
    :star:code
  • Pix2map: Cross-Modal Retrieval for Inferring Street Maps From Images
• 跨模态检索
  • VoP: Text-Video Co-Operative Prompt Tuning for Cross-Modal Retrieval
    :star:code
  • Improving Cross-Modal Retrieval With Set of Diverse Embeddings
  • RONO: Robust Discriminative Learning With Noisy Labels for 2D-3D Cross-Modal Retrieval
    :star:code
• 文本-图像匹配
  • Learning Semantic Relationship among Instances for Image-Text Matching
    :star:code
  • Fine-Grained Image-Text Matching by Cross-Modal Hard Aligning Network
    :star:code
• 图像文本检索
  • Multilateral Semantic Relations Modeling for Image Text Retrieval
  • ViLEM: Visual-Language Error Modeling for Image-Text Retrieval
• 文本-视频检索
  • Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval?
    :star:code
• 视频语言检索
  • CLIPPING: Distilling CLIP-Based Models With a Student Base for Video-Language Retrieval
  • Towards Fast Adaptation of Pretrained Contrastive Models for Multi-Channel Video-Language Retrieval

22.Image Synthesis/Generation(图像合成)

• LayoutDiffusion: Controllable Diffusion Model for Layout-to-Image Generation
  :star:code
• Zero-shot Generative Model Adaptation via Image-specific Prompt Learning
  :star:code
• TopNet: Transformer-based Object Placement Network for Image Compositing
• 基于草图生成
  • Picture that Sketch: Photorealistic Image Generation from Abstract Sketches
    :house:project
• 图像-视频合成
  • Conditional Image-to-Video Generation with Latent Flow Diffusion Models
    :star:code
• 海报生成
  • Unsupervised Domain Adaption with Pixel-level Discriminator for Image-aware Layout Generation
• 文本-图像合成
  • Variational Distribution Learning for Unsupervised Text-to-Image Generation
  • ReCo: Region-Controlled Text-to-Image Generation
  • Specialist Diffusion: Plug-and-Play Sample-Efficient Fine-Tuning of Text-to-Image Diffusion Models To Learn Any Unseen Style
  • Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation
  • DATID-3D: Diversity-Preserved Domain Adaptation Using Text-to-Image Diffusion for 3D Generative Model
  • Multi-Concept Customization of Text-to-Image Diffusion
    :house:project
  • Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models
    :house:project
  • Uncovering the Disentanglement Capability in Text-to-Image Diffusion Models
    :star:code
  • GLIGEN: Open-Set Grounded Text-to-Image Generation
  • RIATIG: Reliable and Imperceptible Adversarial Text-to-Image Generation With Natural Prompts
    :star:code
  • GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesis
    :star:code
  • Shifted Diffusion for Text-to-image Generation
    :star:code
  • Conditional Text Image Generation With Diffusion Models
  • Scaling Up GANs for Text-to-Image Synthesis
    :house:project
• prompting
  • Diversity-Aware Meta Visual Prompting
    :star:code
• 图像生成
  • LayoutDM: Discrete Diffusion Model for Controllable Layout Generation
    :house:project
  • Private Image Generation With Dual-Purpose Auxiliary Classifier
  • Unsupervised Domain Adaption With Pixel-Level Discriminator for Image-Aware Layout Generation
  • SpaText: Spatio-Textual Representation for Controllable Image Generation
    :house:project
  • MaskSketch: Unpaired Structure-Guided Masked Image Generation
  • Where Is My Spot? Few-Shot Image Generation via Latent Subspace Optimization
    :star:code
  • Not All Image Regions Matter: Masked Vector Quantization for Autoregressive Image Generation
    :star:code
  • Controllable Mesh Generation Through Sparse Latent Point Diffusion Models
    :house:project
  • NoisyTwins: Class-Consistent and Diverse Image Generation Through StyleGANs
    :house:project
  • Exploring Incompatible Knowledge Transfer in Few-shot Image Generation
  • Wavelet Diffusion Models Are Fast and Scalable Image Generators
    :star:code
  • Picture That Sketch: Photorealistic Image Generation From Abstract Sketches
    :house:project
  • DiffCollage: Parallel Generation of Large Content with Diffusion Models
    :house:project
  • Towards Accurate Image Coding: Improved Autoregressive Image Generation with Dynamic Vector Quantization
    :star:code
  • LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation
    :star:code
  • Domain Expansion of Image Generators
    :house:project
• 视频生成
  • Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models
    :house:project
  • 文本驱动的视频合成
    • Tell Me What Happened: Unifying Text-Guided Video Completion via Multimodal Masked Video Generation
• Image Synthesis(图像合成)
  • Learning 3D-aware Image Synthesis with Unknown Pose Distribution
    :house:project
  • Few-Shot Semantic Image Synthesis With Class Affinity Transfer
  • Fake It Till You Make It: Learning Transferable Representations From Synthetic ImageNet Clones
  • 3D-Aware Conditional Image Synthesis
  • SceneComposer: Any-Level Semantic Image Synthesis
    :house:project
  • RWSC-Fusion: Region-Wise Style-Controlled Fusion Network for the Prohibited X-Ray Security Image Synthesis
  • Exploring Intra-Class Variation Factors With Learnable Cluster Prompts for Semi-Supervised Image Synthesis
  • Quantitative Manipulation of Custom Attributes on 3D-Aware Image Synthesis
  • Inferring and Leveraging Parts From Object Shape for Improving Semantic Image Synthesis
    :star:code
  • MAGE: MAsked Generative Encoder To Unify Representation Learning and Image Synthesis
    :star:code
  • Person Image Synthesis via Denoising Diffusion Model
  • Freestyle Layout-to-Image Synthesis
    :star:code
  • Few-shot Semantic Image Synthesis with Class Affinity Transfer图像合成
  • Regularized Vector Quantization for Tokenized Image Synthesis
  • High-Fidelity Guided Image Synthesis with Latent Diffusion Models
    :house:project
  • PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing
    :house:project
• 文本-运动生成
  • Being Comes From Not-Being: Open-Vocabulary Text-to-Motion Generation With Wordless Training
    :house:project
• 纹理合成
  • Neural Texture Synthesis With Guided Correspondence

21.UAV/Remote Sensing/Satellite Image(无人机/遥感/卫星图像)

• TopDiG: Class-Agnostic Topological Directional Graph Extraction From Remote Sensing Images
• Change-Aware Sampling and Contrastive Learning for Satellite Images
• MethaneMapper: Spectral Absorption aware Hyperspectral Transformer for Methane Detection
• ViTs for SITS: Vision Transformers for Satellite Image Time Series
• Adaptive Sparse Convolutional Networks With Global Context Enhancement for Faster Object Detection on Drone Images
  :star:code
• 图像检测
  • Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Images
    :star:code
• 跟踪
  • Resource-Efficient RGBD Aerial Tracking
    :star:code
• 雷达定位
  • SGLoc: Scene Geometry Encoding for Outdoor LiDAR Localization
• 无人机目标检测
  • Generalized UAV Object Detection via Frequency Domain Disentanglement

20.Autonomous vehicles(自动驾驶)

• 自动驾驶
  • UniSim: A Neural Closed-Loop Sensor Simulator
    :house:project
  • Planning-Oriented Autonomous Driving
  • Temporal Consistent 3D LiDAR Representation Learning for Semantic Perception in Autonomous Driving
  • TBP-Former: Learning Temporal Bird's-Eye-View Pyramid for Joint Perception and Prediction in Vision-Centric Autonomous Driving
    :star:code
  • Weakly Supervised Class-Agnostic Motion Prediction for Autonomous Driving
  • Learning and Aggregating Lane Graphs for Urban Automated Driving
    :star:code
  • RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving
    :star:code
  • Azimuth Super-Resolution for FMCW Radar in Autonomous Driving
  • Unsupervised 3D Point Cloud Representation Learning by Triangle Constrained Contrast for Autonomous Driving
    :house:project
  • Localized Semantic Feature Mixers for Efficient Pedestrian Detection in Autonomous Driving
  • DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization
  • Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving
  • ReasonNet: End-to-End Driving with Temporal and Global Reasoning
  • LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation
    :star:code
  • Tri-Perspective View for Vision-Based 3D Semantic Occupancy Prediction
    :star:code
  • Implicit Occupancy Flow Fields for Perception and Prediction in Self-Driving
• MSeg3D: Multi-Modal 3D Semantic Segmentation for Autonomous Driving
  :star:code
  • Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving
  • GINA-3D: Learning to Generate Implicit Neural Assets in the Wild自动驾驶
  • Neural Map Prior for Autonomous Driving
• 轨迹预测
  • IPCC-TP: Utilizing Incremental Pearson Correlation Coefficient for Joint Multi-Agent Trajectory Prediction
  • ViP3D: End-to-End Visual Trajectory Prediction via 3D Agent Queries
  • Query-Centric Trajectory Prediction
  • Leapfrog Diffusion Model for Stochastic Trajectory Prediction
    :star:code
  • Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction
    :star:code
  • FEND: A Future Enhanced Distribution-Aware Contrastive Learning Framework for Long-tail Trajectory Prediction
  • Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction
  • Stimulus Verification Is a Universal and Effective Sampler in Multi-Modal Human Trajectory Prediction
• Place Recognition
  • Data-efficient Large Scale Place Recognition with Graded Similarity Supervision
    :star:code
  • R2Former: Unified Retrieval and Reranking Transformer for Place Recognition
    :star:code
• 车道线检测
  • BEV-LaneDet: An Efficient 3D Lane Detection Based on Virtual Camera via Key-Points
    :star:code
  • Anchor3DLane: Learning To Regress 3D Anchors for Monocular 3D Lane Detection
    :star:code
• 鸟瞰识别
  • BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision
  • SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images
    :house:project

19.Neural Architecture Search(神经架构搜索)

• PA&DA: Jointly Sampling PAth and DAta for Consistent NAS
  :star:code
• Differentiable Architecture Search With Random Features
• Adversarially Robust Neural Architecture Search for Graph Neural Networks
• MDL-NAS: A Joint Multi-Domain Learning Framework for Vision Transformer
• HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search
• EMT-NAS:Transferring Architectural Knowledge Between Tasks From Different Datasets

18.Person Re-Identification(人员重识别)

• Towards Modality-Agnostic Person Re-Identification With Descriptive Query
• Event-Guided Person Re-Identification via Sparse-Dense Complementary Learning
  :star:code
• Patch-Wise High-Frequency Augmentation for Transformer-Based Person Re-Identification
  :star:code
• TranSG: Transformer-Based Skeleton Graph Prototype Contrastive Learning with Structure-Trajectory Prompted Reconstruction for Person Re-Identification
  :star:code
• 人员检索
  • Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrieval
    :star:code
  • Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling
• 换衣重识别
  • Good Is Bad: Causality Inspired Cloth-Debiasing for Cloth-Changing Person Re-Identification
  • Clothing-Change Feature Augmentation for Person Re-Identification
  • An In-Depth Exploration of Person Re-Identification and Gait Recognition in Cloth-Changing Conditions
• 可见光-红外人员重识别(VIReID)
  • Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification
    :star:code
  • Shape-Erased Feature Learning for Visible-Infrared Person Re-Identification
  • PartMix: Regularization Strategy to Learn Part Discovery for Visible-Infrared Person Re-identification可见光-红外人员重识别(VI-ReID)
  • Unsupervised Visible-Infrared Person Re-Identification via Progressive Graph Matching and Alternate Learning
• G-ReID
  • Similarity Metric Learning for RGB-Infrared Group Re-Identification
    :star:code
• 行人检测
  • VLPD: Context-Aware Pedestrian Detection via Vision-Language Semantic Self-Supervision
    :star:code
  • Optimal Proposal Learning for Deployable End-to-End Pedestrian Detection
• 人群计数
  • CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model
    :star:code
  • Boosting Detection in Crowd Analysis via Underutilized Output Features
    :star:code
  • Optimal Transport Minimization: Crowd Localization on Density Maps for Semi-Supervised Counting
    :star:code
• 步态识别
  • Dynamic Aggregated Network for Gait Recognition
    :star:code
  • LidarGait: Benchmarking 3D Gait Recognition With Point Clouds
    :house:project
  • GaitGCI: Generative Counterfactual Intervention for Gait Recognition
  • OpenGait: Revisiting Gait Recognition Towards Better Practicality
  • Multi-Modal Gait Recognition via Effective Spatial-Temporal Feature Fusion

17.Medical Image(医学影像)

• Geometric Visual Similarity Learning in 3D Medical Image Self-Supervised Pre-Training
• Interventional Bag Multi-Instance Learning on Whole-Slide Pathological Images
  :star:code
• Causally-Aware Intraoperative Imputation for Overall Survival Time Prediction
• Flexible-Cm GAN: Towards Precise 3D Dose Prediction in Radiotherapy
• Towards Trustable Skin Cancer Diagnosis via Rewriting Model’s Decision
• Hierarchical discriminative learning improves visual representations of biomedical microscopy
  :house:project
• Topology-Guided Multi-Class Cell Context Generation for Digital Pathology
• Image Quality-aware Diagnosis via Meta-knowledge Co-embedding
• METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens医学诊断
• 3D医学
  • Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training
    :star:code
• 图像配准
  • Indescribable Multi-modal Spatial Evaluator
    :star:code
• 图像分类
  • ask-specific Fine-tuning via Variational Information Bottleneck for Weakly-supervised Pathology Whole Slide Image Classification
    :star:code
  • RankMix: Data Augmentation for Weakly Supervised Learning of Classifying Whole Slide Images With Diverse Sizes and Imbalanced Categories
  • Grounding Counterfactual Explanation of Image Classifiers to Textual Concept Space
  • PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training
    :star:code
  • Task-Specific Fine-Tuning via Variational Information Bottleneck for Weakly-Supervised Pathology Whole Slide Image Classification
    :star:code
  • A Loopback Network for Explainable Microvascular Invasion Classification
• 报告生成
  • Dynamic Graph Enhanced Contrastive Learning for Chest X-ray Report Generation
    :star:code
  • Interactive and Explainable Region-Guided Radiology Report Generation
  • METransformer: Radiology Report Generation by Transformer With Multiple Learnable Expert Tokens
    • KiUT: Knowledge-Injected U-Transformer for Radiology Report Generation
• 医学影像分割
  • Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation
  • SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation
  • Pseudo-Label Guided Contrastive Learning for Semi-Supervised Medical Image Segmentation
    :star:code
  • Fair Federated Medical Image Segmentation via Client Contribution Estimation
  • Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation
    :star:code
  • Devil is in the Queries: Advancing Mask Transformers for Real-world Medical Image Segmentation and Out-of-Distribution Localization
  • Weakly supervised segmentation with point annotations for histopathology images via contrast-based variational model
  • MCF: Mutual Correction Framework for Semi-Supervised Medical Image Segmentation
    :star:code
  • Rethinking Few-Shot Medical Segmentation: A Vector Quantization View
  • Devil Is in the Queries: Advancing Mask Transformers for Real-World Medical Image Segmentation and Out-of-Distribution Localization
  • MagicNet: Semi-Supervised Multi-Organ Segmentation via Magic-Cube Partition and Recovery
    :star:code
  • Ambiguous Medical Image Segmentation Using Diffusion Models
  • Directional Connectivity-Based Segmentation of Medical Images
• 医学影像分析
  • Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data
  • Directional Connectivity-based Segmentation of Medical Images
    :star:code
• 肿瘤分割
  • Label-Free Liver Tumor Segmentation
• 医学影像报告生成
  • Interactive and Explainable Region-guided Radiology Report Generation
    :star:code自动生成放射学报告
• 切片分析
  • Histopathology Whole Slide Image Analysis With Heterogeneous Graph Representation Learning
    :star:code
• 细胞检测、跟踪与计数
  • DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting
  • Overlapped Cell on Tissue Dataset for Histopathology
  • Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses
    :star:code
  • Masked Autoencoder Guided Segmentation at Pixel Resolution for Accurate, Self-Supervised Subcellular Structure Recognition
    :star:code
• 单目内窥镜跟踪
  • Constrained Evolutionary Diffusion Filter for Monocular Endoscope Tracking
• 皮肤癌诊断
  • Towards Trustable Skin Cancer Diagnosis via Rewriting Model's Decision
• MRI 重建
  • Learning Federated Visual Prompt in Null Space for MRI Reconstruction
• 生物医学
  • Hierarchical Discriminative Learning Improves Visual Representations of Biomedical Microscopy

16.Semi/self-supervised learning(半/自监督)

• 无监督学习
  • Non-Contrastive Unsupervised Learning of Physiological Signals from Video
    :star:code
  • Neural Rate Estimator and Unsupervised Learning for Efficient Distributed Image Analytics in Split-DNN Models
  • Non-Contrastive Unsupervised Learning of Physiological Signals From Video
• 自监督
  • Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning
  • StepFormer: Self-Supervised Step Discovery and Localization in Instructional Videos
  • DLBD: A Self-Supervised Direct-Learned Binary Descriptor
  • Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields
  • Self-Supervised Learning From Images With a Joint-Embedding Predictive Architecture
  • Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning
    :star:code
  • DrapeNet: Garment Generation and Self-Supervised Draping
    :star:code
  • Neural Congealing: Aligning Images to a Joint Semantic Atlas
    :house:project
  • Self-Supervised AutoFlow
  • Towards Realistic Long-Tailed Semi-Supervised Learning: Consistency Is All You Need
    :star:code
  • Siamese Image Modeling for Self-Supervised Vision Representation Learning
    :star:code
  • SCOOP: Self-Supervised Correspondence and Optimization-Based Scene Flow
    :star:code
  • Three Guidelines You Should Know for Universally Slimmable Self-Supervised Learning
    :star:code
  • Look, Radiate, and Learn: Self-Supervised Localisation via Radio-Visual Correspondence
  • Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss
  • Evolved Part Masking for Self-Supervised Learning
  • Towards Professional Level Crowd Annotation of Expert Domain Data
  • ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation
    :star:code
  • Correlational Image Modeling for Self-Supervised Visual Pre-Training
  • Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks
    :star:code
    :thumbsup:CVPR 2023 深挖无标签数据价值！自监督学习框架SOLIDER：用于以人为中心的视觉
  • Mixed Autoencoder for Self-supervised Visual Representation Learning
  • Siamese DETR
    :star:code
  • Token Boosting for Robust Self-Supervised Visual Transformer Pre-training
  • Self-Supervised Representation Learning for CAD
• 半监督
  • Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data
    :star:code
  • HyperMatch: Noise-Tolerant Semi-Supervised Learning via Relaxed Contrastive Constraint
  • Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning
  • DualRel: Semi-Supervised Mitochondria Segmentation From a Prototype Perspective
  • CHMATCH:Contrastive Hierarchical Matching and Robust Adaptive Threshold Boosted Semi-Supervised Learning
    :star:code
  • ProtoCon: Pseudo-label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-supervised Learning
  • Class Balanced Adaptive Pseudo Labeling for Federated Semi-Supervised Learning
    :star:code
  • MarginMatch:Improving Semi-Supervised Learning with Pseudo-Margins
    :star:code
  • Semi-Supervised Learning Made Simple With Self-Supervised Clustering
• 弱监督
  • Similarity Maps for Self-Training Weakly-Supervised Phrase Grounding
    :star:code

15.Vision Transformers

• Transformer-Based Learned Optimization
• Teaching Matters: Investigating the Role of Supervision in Vision Transformers
• Beyond Attentive Tokens: Incorporating Token Importance and Diversity for Efficient Vision Transformers
• PaCa-ViT: Learning Patch-to-Cluster Attention in Vision Transformers
• NLOST: Non-Line-of-Sight Imaging with Transformer
• SVGformer: Representation Learning for Continuous Vector Graphics Using Transformers
• Adversarial Normalization: I Can visualize Everything (ICE)
  :star:code
• Hint-Aug: Drawing Hints From Foundation Vision Transformers Towards Boosted Few-Shot Parameter-Efficient Tuning
  :star:code
• PanoSwin: A Pano-Style Swin Transformer for Panorama Understanding
• D2Former: Jointly Learning Hierarchical Detectors and Contextual Descriptors via Agent-Based Transformers
• NAR-Former: Neural Architecture Representation Learning Towards Holistic Attributes Prediction
  :star:code
• DropKey for Vision Transformer
• Integrally Pre-Trained Transformer Pyramid Networks
  :star:code
• DSVT: Dynamic Sparse Voxel Transformer With Rotated Sets
• Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention
• Trade-Off Between Robustness and Accuracy of Vision Transformers
• A Light Touch Approach to Teaching Transformers Multi-view Geometry
• Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers
  :star:code
• RGB no more: Minimally-decoded JPEG Vision Transformers
• Making Vision Transformers Efficient from A Token Sparsification View
  :star:code
• Blur Interpolation Transformer for Real-World Motion from Blur
  :star:code
• Neighborhood Attention Transformer
  :star:code
• MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers
  :star:code
• Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers
  :house:project
• Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions
• Latency Matters: Real-Time Action Forecasting Transformer
  :star:code
• OmniMAE: Single Model Masked Pretraining on Images and Videos
  :star:code
• MAGVIT: Masked Generative Video Transformer
  :house:project
• Learning Imbalanced Data with Vision Transformers
  :star:code
• Visual Atoms: Pre-training Vision Transformers with Sinusoidal Waves
  :house:project
• AMIGO: Sparse Multi-Modal Graph Transformer with Shared-Context Processing for Representation Learning of Giga-pixel Images
  :star:code
• Generic-to-Specific Distillation of Masked Autoencoders
  :star:code
• BiFormer: Vision Transformer with Bi-Level Routing Attention
  :star:code
• Making Vision Transformers Efficient from A Token Sparsification View
• Dual-path Adaptation from Image to Video Transformers
  :star:code
• Spherical Transformer for LiDAR-based 3D Recognition
  :star:code
• MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models
  :star:code
• Sparsifiner: Learning Sparse Instance-Dependent Attention for Efficient Vision Transformers
• Learning Expressive Prompting With Residuals for Vision Transformers
• SparseViT: Revisiting Activation Sparsity for Efficient High-Resolution Vision Transformer
  :house:project
• Visual Dependency Transformers: Dependency Tree Emerges from Reversed AttentionTransformer
• Token Boosting for Robust Self-Supervised Visual Transformer Pre-trainingTransformer
• Slide-Transformer: Hierarchical Vision Transformer with Local Self-Attention
  :star:code
• RIFormer: Keep Your Vision Backbone Effective While Removing Token Mixer
  :star:code
• DropKey
  :thumbsup:CVPR 2023｜两行代码高效缓解视觉Transformer过拟合，美图&国科大联合提出正则化方法DropKey
• Joint Token Pruning and Squeezing Towards More Aggressive Compression of Vision Transformers
  :star:code
• EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention
  :star:code
• TrojViT: Trojan Insertion in Vision Transformers
• Castling-ViT: Compressing Self-Attention via Switching Towards Linear-Angular Attention at Vision Transformer Inference
  :house:project
• ResFormer: Scaling ViTs with Multi-Resolution Training
  :star:code
• Vision Transformer With Super Token Sampling
  :star:code
• Vision Transformers Are Good Mask Auto-Labelers

14.Video

• PointAvatar: Deformable Point-Based Head Avatars From Videos
• Video Probabilistic Diffusion Models in Projected Latent Space
• Masked Motion Encoding for Self-Supervised Video Representation Learning
  :star:code
• Modular Memorability: Tiered Representations for Video Memorability Prediction
  :star:code
• Language-Guided Music Recommendation for Video via Prompt Analogies
• Rethinking Video ViTs: Sparse Video Tubes for Joint Image and Video Learning
• 1000 FPS HDR Video With a Spike-RGB Hybrid Camera
  :house:project
• Egocentric Video Task Translatio
  :house:project
• Relational Space-Time Query in Long-Form Videos
• Spatial-Then-Temporal Self-Supervised Learning for Video Correspondence
  :star:code
• Few-Shot Referring Relationships in Videos
  :house:project
• Aligning Step-by-Step Instructional Diagrams to Video Demonstrations
  :house:project
• 3D Video Loops From Asynchronous Input
  :house:project
• VideoMAE V2: Scaling Video Masked Autoencoders With Dual Masking
  :star:code
• Weakly Supervised Video Representation Learning with Unaligned Text for Sequential Videos
  :star:code
• StepFormer: Self-supervised Step Discovery and Localization in Instructional Videos
• VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking
• Implicit View-Time Interpolation of Stereo Videos using Multi-Plane Disparities and Non-Uniform Coordinates
  :house:project
  :tv:video
• How You Feelin'? Learning Emotions and Mental States in Movie Scenes
  :house:project
• 视频时刻检索
  • Towards Generalisable Video Moment Retrieval:Visual-Dynamic Injection to Image-Text Pre-Training
  • Query-Dependent Video Representation for Moment Retrieval and Highlight Detection
    :star:code
  • Hierarchical Video-Moment Retrieval and Step-Captioning
    :star:code
• 视频高亮检测
  • Collaborative Noisy Label Cleaner: Learning Scene-aware Trailers for Multi-modal Highlight Detection in Movies
    :star:code
• 视频帧插值
  • Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation
    :star:code
  • AMT: All-Pairs Multi-Field Transforms for Efficient Frame Interpolation
    :star:code
  • Exploring Motion Ambiguity and Alignment for High-Quality Video Frame Interpolation
  • Exploring Discontinuity for Video Frame Interpolation
  • Event-Based Video Frame Interpolation With Cross-Modal Asymmetric Bidirectional Motion Fields
    :star:code
  • A Unified Pyramid Recurrent Network for Video Frame Interpolation
    :star:code
  • Joint Video Multi-Frame Interpolation and Deblurring under Unknown Exposure Time
    :star:code
  • BiFormer: Learning Bilateral Motion Estimation via Bilateral Transformer for 4K Video Frame Interpolation
    :star:code视频帧插值
  • Frame Interpolation Transformer and Uncertainty Guidance
  • Range-Nullspace Video Frame Interpolation With Focalized Motion Estimation
• 视频合成
  • Decomposed Diffusion Models for High-Quality Video Generation
  • MM-Diffusion: Learning Multi-Modal Diffusion Models for Joint Audio and Video Generation
    :star:code
  • Align Your Latents: High-Resolution Video Synthesis With Latent Diffusion Models
    :house:project
• 视频预测
  • MOSO: Decomposing MOtion, Scene and Object for Video Prediction
    :star:code
  • A Dynamic Multi-Scale Voxel Flow Network for Video Prediction
    :star:code
• 视频理解
  • Selective Structured State-Spaces for Long-Form Video Understanding
  • How you feelin'? Learning Emotions and Mental States in Movie Scenes
    :star:code
  • System-status-aware Adaptive Network for Online Streaming Video Understanding
  • LAVENDER: Unifying Video-Language Understanding As Masked Language Modeling
    :star:code
  • System-Status-Aware Adaptive Network for Online Streaming Video Understanding
  • Therbligs in Action: Video Understanding Through Motion Primitives
  • Streaming Video Model
    :star:code
  • Procedure-Aware Pretraining for Instructional Video Understanding
    :star:code
  • Learning Procedure-aware Video Representation from Instructional Videos and Their Narrations
    :star:code
  • Revisiting Temporal Modeling for CLIP-based Image-to-Video Knowledge Transferring
    :star:code
• 视频分类
  • Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting
    :star:code
  • Class Prototypes Based Contrastive Learning for Classifying Multi-Label and Fine-Grained Educational Videos
    :house:project
• 视频描述
  • Fine-grained Audible Video Description
• 视频摘要
  • Align and Attend: Multimodal Summarization with Dual Contrastive Losses
    :star:code
• 视频识别
  • Frame Flexible Network
    :star:code
    :thumbsup:CVPR-2023 | FFN: 针对视频识别的通用Once-For-All框架
  • Use Your Head: Improving Long-Tail Video Recognition
• Video Deflickering(去闪烁)
  • Blind Video Deflickering by Neural Filtering with a Flawed Atlas
    :star:code
• 时间句子定位(TSG)
  • You Can Ground Earlier than See: An Effective and Efficient Pipeline for Temporal Sentence Grounding in Compressed Videos
  • Weakly Supervised Temporal Sentence Grounding With Uncertainty-Guided Self-Training
• VAD
  • Hierarchical Semantic Contrast for Scene-aware Video Anomaly Detection
  • Video Event Restoration Based on Keyframes for Video Anomaly Detection
  • Generating Anomalies for Video Anomaly Detection With Prompt-Based Feature Mapping
  • Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection
  • Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection
  • Look Around for Anomalies: Weakly-Supervised Anomaly Detection via Context-Motion Relational Learning
• 视频异常定位
  • EVAL: Explainable Video Anomaly Localization
• 视频镜像检测
  • Learning To Detect Mirrors From Videos via Dual Correspondences
    :house:project
  • 视频表示学习
    • Weakly Supervised Video Representation Learning With Unaligned Text for Sequential Videos
      :star:code
    • Learning Procedure-Aware Video Representation From Instructional Videos and Their Narrations
      :star:code
    • Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning
      :star:code
    • Modeling Video As Stochastic Processes for Fine-Grained Video Representation Learning
      :star:code
• Video Paragraph Grounding
  • Hierarchical Semantic Correspondence Networks for Video Paragraph Grounding
• Video Grounding
  • Text-Visual Prompting for Efficient 2D Temporal Video Grounding
  • WINNER: Weakly-Supervised hIerarchical decompositioN and aligNment for Spatio-tEmporal Video gRounding
  • Iterative Proposal Refinement for Weakly-Supervised Video Grounding
  • Collaborative Static and Dynamic Vision-Language Streams for Spatio-Temporal Video Grounding
  • ProTeGe: Untrimmed Pretraining for Video Temporal Grounding by Video Temporal Grounding
• 视频阴影检测
  • A Transformer Video Shadow Detection Framework
    :house:project
• 视频关键点检测
  • Recurrence Without Recurrence: Stable Video Landmark Detection With Deep Equilibrium Models
• 视频情感检测
  • Weakly Supervised Video Emotion Detection and Prediction via Cross-Modal Temporal Erasing Network
• 场景检测
  • Efficient Movie Scene Detection Using State-Space Transformers

13.GAN

• AdaptiveMix: Improving GAN Training via Feature Space Shrinkage
• Masked Auto-Encoders Meet Generative Adversarial Networks and Beyond
• Spider GAN: Leveraging Friendly Neighbors To Accelerate GAN Training
• Learning on Gradients: Generalized Artifacts Representation for GAN-Generated Images Detection
  :star:code
• MoStGAN-V: Video Generation With Temporal Motion Styles
  :star:code
• Sequential Training of GANs Against GAN-Classifiers Reveals Correlated "Knowledge Gaps" Present Among Independently Trained GAN Instances
• Re-GAN: Data-Efficient GANs Training via Architectural Reconfiguration
  :star:code
• HumanGen: Generating Human Radiance Fields With Explicit Priors
• Bi-Directional Feature Fusion Generative Adversarial Network for Ultra-High Resolution Pathological Image Virtual Re-Staining
• GlassesGAN: Eyewear Personalization Using Synthetic Appearance Discovery and Targeted Subspace Modeling
• Delving StyleGAN Inversion for Image Editing: A Foundation Latent Space Viewpoint
  :house:project
• 3DAvatarGAN: Bridging Domains for Personalized Editable Avatars
  :house:project
• GLeaD: Improving GANs With a Generator-Leading Task
  :house:project
• Transforming the Residuals for Real Image Editing With StyleGAN
  :star:code
• Improving GAN Training via Feature Space Shrinkage
  :star:code
• Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training
• NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs
  :star:code
• Graph Transformer GANs for Graph-Constrained House Generation
• Cross-GAN Auditing: Unsupervised Identification of Attribute Level Similarities and Differences between Pretrained Generative Models
  :star:code
• Efficient Scale-Invariant Generator with Column-Row Entangled Pixel Synthesis
  :star:code
• VIVE3D: Viewpoint-Independent Video Editing using 3D-Aware GANs
  :star:code
• Discriminator-Cooperated Feature Map Distillation for GAN Compression
  :star:code
• Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field
  :star:code
• 图像-文本合成
  • Scaling up GANs for Text-to-Image Synthesis
    :house:project
• 扩散模型
  • How to Backdoor Diffusion Models?
    :star:code
  • Diffusion Probabilistic Model Made Slim
  • VectorFusion: Text-to-SVG by Abstracting Pixel-Based Diffusion Models
  • Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models
  • Seeing Beyond the Brain: Conditional Diffusion Model With Sparse Masked Modeling for Vision Decoding
  • Self-Guided Diffusion Models
  • ObjectStitch: Object Compositing With Diffusion Model
  • Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models
  • Parallel Diffusion Models of Operator and Image for Blind Inverse Problems
  • RGBD2: Generative Scene Synthesis via Incremental View Inpainting using RGBD Diffusion Models
    :house:project
  • Dimensionality-Varying Diffusion Process
  • TrojDiff: Trojan Attacks on Diffusion Models With Diverse Targets
    :star:code
  • Towards Practical Plug-and-Play Diffusion Models
    :star:code
  • All Are Worth Words: A ViT Backbone for Diffusion Models
  • Unite and Conquer: Plug & Play Multi-Modal Synthesis using Diffusion Models
    :house:project
  • Binary Latent Diffusion
  • Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models
  • Lookahead Diffusion Probabilistic Models for Refining Mean Estimation
  • EDICT: Exact Diffusion Inversion via Coupled Transformations
    :star:code
  • ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model With Knowledge-Enhanced Mixture-of-Denoising-Experts
• GAN 逆映射
  • 3D GAN Inversion With Facial Symmetry Prior
    :house:project
  • NeRFInvertor: High Fidelity NeRF-GAN Inversion for Single-Shot Real Image Animation
  • Self-Supervised Geometry-Aware Encoder for Style-Based 3D GAN Inversion
    :house:project
  • High-Fidelity 3D GAN Inversion by Pseudo-Multi-View Optimization
    :house:project

12.Image-to-Image Translation(图像到图像翻译)

• 3D-Aware Multi-Class Image-to-Image Translation With NeRFs
• Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation
• DSI2I: Dense Style for Unpaired Image-to-Image Translation
• Fix the Noise: Disentangling Source Feature for Controllable Domain Translation
  :star:code
• 3D-Aware Multi-Class Image-to-Image Translation with NeRFs
• LANIT: Language-Driven Image-to-Image Translation for Unlabeled Data
  :house:project
• Unpaired Image-to-Image Translation With Shortest Path Regularization
  :star:code
• BBDM: Image-to-Image Translation With Brownian Bridge Diffusion Models
• 图像翻译
  • Masked and Adaptive Transformer for Exemplar Based Image Translation
    :star:code
• 视频翻译
  • On the Difficulty of Unpaired Infrared-to-Visible Video Translation: Fine-Grained Content-Rich Patches Transfer
    :star:code

11.Face(人脸)

• Rethinking Feature-Based Knowledge Distillation for Face Recognition
• Logical Consistency and Greater Descriptive Power for Facial Hair Attribute Learning
• Learning a 3D Morphable Face Reflectance Model From Low-Cost Data
• CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search
• Learning Detailed Radiance Manifolds for High-Fidelity and 3D-Consistent Portrait Synthesis From Monocular Image
  :house:project
• Learning Neural Proto-Face Field for Disentangled 3D Face Modeling in the Wild
• Evading Forensic Classifiers With Attribute-Conditioned Adversarial Faces
  :star:code
• Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues
• Attribute-Preserving Face Dataset Anonymization via Latent Code Optimization
  :star:code
• Pose-Disentangled Contrastive Learning for Self-Supervised Facial Representation
  :star:code
• Privacy-Preserving Adversarial Facial Features
• BioNet: A Biologically-Inspired Network for Face Recognition
  :star:code
• High-Res Facial Appearance Capture From Polarized Smartphone Images
• MARLIN: Masked Autoencoder for Facial Video Representation LearnINg
  :star:code
• Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition
  :house:project
• Disentanglement of Pose and Expression for General Video Portrait Editing
• BlendFields: Few-Shot Example-Driven Facial Modeling
  :star:code
• Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition
  :thumbsup:CVPR 2023 | 人脸识别路漫漫：清华、北大等提出AT3D人脸识别系统攻击方法
• Collaborative Diffusion for Multi-Modal Face Generation and Editing
  :star:code
  :star:code
  :thumbsup:CVPR 2023 | Collaborative Diffusion 怎样让不同的扩散模型合作？
• Recognizability Embedding Enhancement for Very Low-Resolution Face Recognition and Quality Estimation
• DiffusionRig: Learning Personalized Priors for Facial Appearance Editing
  :star:code
• Probabilistic Knowledge Distillation of Face Ensembles
• DCFace: Synthetic Face Generation with Dual Condition Diffusion Model
  :star:code
• Discrete Point-Wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition
• 3D 人脸
  • Graphics Capsule: Learning Hierarchical 3D Face Representations from 2D Images
  • Physical-World Optical Adversarial Attacks on 3D Face Recognition
  • Learning a 3D Morphable Face Reflectance Model from Low-cost Data
    :house:project
  • NeuFace: Realistic 3D Neural Face Rendering from Multi-view Images
    :star:code
  • FaceLit: Neural 3D Relightable Faces
  • Learning Neural Proto-face Field for Disentangled 3D Face Modeling In the Wild
  • High-Fidelity 3D Face Generation From Natural Language Descriptions
    :star:code
  • CodeTalker: Speech-Driven 3D Facial Animation with Discrete Motion Prior
    :star:code
  • PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360deg
• 人脸重建
  • A Hierarchical Representation Network for Accurate and Detailed Face Reconstruction from In-The-Wild Images
    :house:project
  • Graphics Capsule: Learning Hierarchical 3D Face Representations From 2D Images
  • FFHQ-UV: Normalized Facial UV-Texture Dataset for 3D Face Reconstruction
    :star:code
  • Robust Model-Based Face Reconstruction Through Weakly-Supervised Outlier Segmentation
  • AVFace: Towards Detailed Audio-Visual 4D Face Reconstruction
    :house:project
• 人脸恢复
  • DR2: Diffusion-based Robust Degradation Remover for Blind Face Restoration
• 人脸对齐
  • [* DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment
    :star:code]
• 人脸匿名化
  • Attribute-preserving Face Dataset Anonymization via Latent Code Optimization
    :star:code
• 人脸超分辨率
  • Spatial-Frequency Mutual Learning for Face Super-Resolution
    :star:code
• 裸眼年龄识别
  • DAA: A Delta Age AdaIN operation for age estimation via binary code transformer
• 情绪识别
  • Context De-confounded Emotion Recognition
  • Decoupled Multimodal Distilling for Emotion Recognition
    :star:code
  • Multivariate, Multi-Frequency and Multimodal: Rethinking Graph Neural Networks for Emotion Recognition in Conversation
  • Learning Emotion Representations from Verbal and Nonverbal Communication
    :star:code
• 人像照明
  • LightPainter: Interactive Portrait Relighting with Freehand Scribble
• 人脸活体检测
  • Rethinking Domain Generalization for Face Anti-spoofing: Separability and Alignment
  • Instance-Aware Domain Generalization for Face Anti-Spoofing
    :star:code
• 说话头
  • OTAvatar: One-shot Talking Face Avatar with Controllable Tri-plane Rendering
    :star:code
  • High-Fidelity Generalized Emotional Talking Face Generation With Multi-Modal Emotion Space Learning
  • Progressive Disentangled Representation Learning for Fine-Grained Controllable Talking Head Synthesis
  • LipFormer: High-Fidelity and Generalizable Talking Face Generation With a Pre-Learned Facial Codebook
  • SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation
    :star:code
  • Implicit Neural Head Synthesis via Controllable Local Deformation Fields
  • Identity-Preserving Talking Face Generation with Landmark and Appearance Priors
    :star:code
  • Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert
  • High-Fidelity and Freely Controllable Talking Head Video Generation
    :house:project
  • High-fidelity Generalized Emotional Talking Face Generation with Multi-modal Emotion Space Learning
  • GANHead: Towards Generative Animatable Neural Head Avatars
    :star:code
  • One-Shot High-Fidelity Talking-Head Synthesis with Deformable Neural Radiance Field
    :house:project
  • MetaPortrait: Identity-Preserving Talking Head Generation with Fast Personalized Adaptation
    :house:project
• 人脸分割
  • Parameter Efficient Local Implicit Image Function Network for Face Segmentation
• 眨眼检测
  • Real-time Multi-person Eyeblink Detection in the Wild for Untrimmed Video
• 三维头像生成
  • Learning Personalized High Quality Volumetric Head Avatars from Monocular RGB Videos
    :star:code
  • Instant Volumetric Head Avatars
    :house:project
  • Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars
    :house:project
  • OmniAvatar: Geometry-Guided Controllable 3D Head Synthesis
  • PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360◦
• 人脸表情识别
  • Rethinking the Learning Paradigm for Dynamic Facial Expression Recognition
• 微表情识别
  • Micron-BERT: BERT-based Facial Micro-Expression Recognition
    :star:code微表情识别
  • Feature Representation Learning With Adaptive Displacement Generation and Transformer Fusion for Micro-Expression Recognition
  • SelfME: Self-Supervised Motion Learning for Micro-Expression Recognition
• 人脸合成
  • High-Fidelity 3D Face Generation from Natural Language Descriptions
    :house:project
  • StyleGene: Crossover and Mutation of Region-Level Facial Genes for Kinship Face Synthesis
• 假脸检测
  • AUNet: Learning Relations Between Action Units for Face Forgery Detection
  • AltFreezing for More General Video Face Forgery Detection
• Facial Action Unit Detection
  • Biomechanics-guided Facial Action Unit Detection through Force Modeling
• 人脸视频编辑
  • Diffusion Video Autoencoders: Toward Temporally Consistent Face Video Editing via Disentangled Video Encoding
    :house:project
• 人脸质量评估
  • Face Image Quality Assessment by Learning Sample Relative Classifiability
    :star:code
• 人脸交换
  • 3D-Aware Face Swapping
    :star:code
  • Implicit Identity Driven Deepfake Face Swapping Detection
  • StyleIPSB: Identity-Preserving Semantic Basis of StyleGAN for High Fidelity Face Swapping
    :star:code
  • Fine-Grained Face Swapping via Regional GAN Inversion
    :house:project
  • DiffSwap: High-Fidelity and Controllable Face Swapping via 3D-Aware Masked Diffusion
• 人脸聚类
  • Local Connectivity-Based Density Estimation for Face Clustering
    :star:code
• 人脸修饰
  • Blemish-Aware and Progressive Face Retouching With Limited Paired Data
• 三维数字头像
  • A Generative Model for Sculpting 3D Digital Avatars Using Diffusion
    :house:project
  • High-fidelity Facial Avatar Reconstruction from Monocular Video with Generative Priors
• 音频驱动的人脸重演
  • Parametric Implicit Face Representation for Audio-Driven Facial Reenactment
• 隐私保护
  • DartBlur: Privacy Preservation With Detection Artifact Suppression
    :star:code
• 人脸关键点检测
  • 3D-Aware Facial Landmark Detection via Multi-View Consistent Training on Synthetic Data
  • STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection
• 头部捕获
  • Instant Multi-View Head Capture Through Learnable Registration
    :house:project
• 年龄估计
  • DAA: A Delta Age AdaIN Operation for Age Estimation via Binary Code Transformer

10.3D(三维重建\三维视觉)

• Structured 3D Features for Reconstructing Controllable Avatars
  :house:project
• In-Hand 3D Object Scanning from an RGB Sequence
• Learning Geometric-Aware Properties in 2D Representation Using Lightweight CAD Models, or Zero Real 3D Pairs
  :star:code
• 3D Concept Learning and Reasoning from Multi-View Images
  :house:project
• LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes
  :house:project
• DynamicStereo: Consistent Dynamic Depth From Stereo Videos
  :house:project
• ARO-Net: Learning Implicit Fields from Anchored Radial Observations
• G-MSM:Unsupervised Multi-Shape Matching With Graph-Based Affinity Priors
  :star:code
• Magic3D: High-Resolution Text-to-3D Content Creation
  :house:project
• PointListNet: Deep Learning on 3D Point Lists
• Omnimatte3D: Associating Objects and Their Effects in Unconstrained Monocular Video
• HexPlane: A Fast Representation for Dynamic Scenes
  :house:project
• Energy-Efficient Adaptive 3D Sensing
  :house:project
• Objaverse: A Universe of Annotated 3D Objects
  :house:project
• Level-S2fM: Structure from Motion on Neural Level Set of Implicit Surfaces
  :house:project
• 3D Highlighter: Localizing Regions on 3D Shapes via Text Descriptions
  :star:code
• OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation
  :house:project
  :thumbsup:CVPR 2023 Award Candidate | 真实高精三维物体数据集OmniObject3D
• Neural Scene Chronology
  :house:project
• 3D Neural Field Generation Using Triplane Diffusion
  :house:project
• Learning Adaptive Dense Event Stereo From the Image Domain
• GANmouflage: 3D Object Nondetection With Texture Fields
  :house:project
• Learning Accurate 3D Shape Based on Stereo Polarimetric Imaging
• Sphere-Guided Training of Neural Implicit Surfaces
  :house:project
• PartNeRF: Generating Part-Aware Editable 3D Shapes without 3D Supervision
  :house:project
• Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning
  :star:code
• Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching
  :star:code
• SINE: Semantic-driven Image-based NeRF Editing with Prior-guided Editing Field
  :star:code
• 3DQD: Generalized Deep 3D Shape Prior via Part-Discretized Diffusion Process
  :star:code
• DynamicStereo: Consistent Dynamic Depth from Stereo Videos
  :house:project
• 3D Concept Learning and Reasoning from Multi-View Images
  :house:project
• PanoHead: Geometry-Aware 3D Full-Head Synthesis in 360$^{\circ}$
  :star:code
• Persistent Nature: A Generative Model of Unbounded 3D Worlds
  :house:project
• TAPS3D: Text-Guided 3D Textured Shape Generation from Pseudo Supervision
• Transforming Radiance Field with Lipschitz Network for Photorealistic 3D Scene Stylization
• Robust Outlier Rejection for 3D Registration With Variational Bayes
  :star:code
• On the Importance of Accurate Geometry Data for Dense 3D Vision Tasks
  :star:code
• SUDS: Scalable Urban Dynamic Scenes
  :house:project
• Understanding and Improving Features Learned in Deep Functional Maps
  :star:code
• TMO: Textured Mesh Acquisition of Objects with a Mobile Device by using Differentiable Rendering
  :star:code
• Generalizable Local Feature Pre-training for Deformable Shape Analysis
  :star:code
• CARTO: Category and Joint Agnostic Reconstruction of ARTiculated Objects
  :house:project
• CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes
  :house:project
• HOLODIFFUSION: Training a 3D Diffusion Model using 2D Images
  :star:code
• Multi-View Azimuth Stereo via Tangent Space Consistency
  :star:code
• 3D Line Mapping Revisited
  :star:code
• NeRF-Supervised Deep Stereo
  :star:code
  :star:code
• Robust Outlier Rejection for 3D Registration with Variational Bayes三维
• Incremental 3D Semantic Scene Graph Prediction from RGB Sequences
• Stereo Matching
  • Iterative Geometry Encoding Volume for Stereo Matching
    :star:code
  • Masked representation learning for domain generalized stereo matching
  • Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation
  • Domain Generalized Stereo Matching via Hierarchical Visual Transformation
  • Unsupervised Deep Asymmetric Stereo Matching With Spatially-Adaptive Self-Similarity
  • High-frequency Stereo Matching Network
    :star:code
• 三维视觉
  • Context-Aware Alignment and Mutual Masking for 3D-Language Pre-Training
    :star:code
• 三维重建
  • Neural Lens Modeling
    :star:code
  • Self-Supervised Super-Plane for Neural 3D Reconstruction
    :star:code
  • Multi-Sensor Large-Scale Dataset for Multi-View 3D Reconstruction
  • ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction
  • Towards Unbiased Volume Rendering of Neural Implicit Surfaces With Geometry Priors
  • Multiview Compressive Coding for 3D Reconstruction
    :house:project
  • Multi-View Reconstruction Using Signed Ray Distance Functions (SRDF)
  • PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction
    :house:project
  • RealFusion: 360deg Reconstruction of Any Object From a Single Image
    :house:project
  • Deep Polarization Reconstruction With PDAVIS Events
    :star:code
  • RenderDiffusion: Image Diffusion for 3D Reconstruction, Inpainting and Generation
    :star:code
  • Distilling Neural Fields for Real-Time Articulated Shape Reconstruction
    :house:project
  • High-Fidelity Clothed Avatar Reconstruction from a Single Image
  • Efficient Second-Order Plane Adjustment
  • SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation
    :house:project
  • Reconstructing Animatable Categories From Videos
    :house:project
  • OReX: Object Reconstruction From Planar Cross-Sections Using Neural Fields
  • Learning Articulated Shape with Keypoint Pseudo-labels from Web Images
    :star:code
  • SparseFusion: Distilling View-Conditioned Diffusion for 3D Reconstruction
    :house:project
  • 3D Shape Reconstruction of Semi-Transparent Worms
  • Power Bundle Adjustment for Large-Scale 3D Reconstruction
  • PET-NeuS: Positional Encoding Tri-Planes for Neural Surfaces
    :star:code
  • AutoRecon: Automated 3D Object Discovery and Reconstruction
    :star:code
  • 3D Registration with Maximal Cliques
  • 3D shape reconstruction of semi-transparent worms
  • VisFusion: Visibility-aware Online 3D Scene Reconstruction from Videos
    :star:code
  • NeUDF: Leaning Neural Unsigned Distance Fields with Volume Rendering
    :house:project
  • ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-based Consistency
    :house:project
  • BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
    :star:code
  • PAniC-3D: Stylized Single-view 3D Reconstruction from Portraits of Anime Characters
    :star:code
  • Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly
  • MobileBrick: Building LEGO for 3D Reconstruction on Mobile Devices
    :house:project
  • Seeing Through the Glass: Neural 3D Reconstruction of Object Inside a Transparent Container
    :star:code
  • SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates
    :star:code
  • MACARONS: Mapping And Coverage Anticipation with RGB Online Self-Supervision
    :house:project
  • Scalable, Detailed and Mask-Free Universal Photometric Stereo
    :star:code
  • Structural Multiplane Image: Bridging Neural View Synthesis and 3D Reconstruction
  • NEF: Neural Edge Fields for 3D Parametric Curve Reconstruction from Multi-view Images
    :house:project
  • Behind the Scenes: Density Fields for Single View Reconstruction
    :house:project
  • VolRecon: Volume Rendering of Signed Ray Distance Functions for Generalizable Multi-View Reconstruction
  • Surface Reconstruction(曲面重建)
    • NeuDA: Neural Deformable Anchor for High-Fidelity Implicit Surface Reconstruction
    • Octree Guided Unoriented Surface Reconstruction
    • Neuralangelo: High-Fidelity Neural Surface Reconstruction
      :house:project
    • Neural Kernel Surface Reconstruction
    • Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections
      :star:code
• 深度估计
  • Fully Self-Supervised Depth Estimation from Defocus Clue
    :star:code
  • Gated Stereo: Joint Depth Estimation From Gated and Wide-Baseline Active Stereo Cues
    :house:project
  • OmniVidar: Omnidirectional Depth Estimation From Multi-Fisheye Images
  • Learning To Fuse Monocular and Multi-View Cues for Multi-Frame Depth E
    :star:code
  • SfM-TTR: Using Structure From Motion for Test-Time Refinement of Single-View Depth Networks
    :star:code
  • Shakes on a Plane: Unsupervised Depth Estimation From Unstabilized Photography
    :house:project
  • Depth Estimation From Camera Image and mmWave Radar Point Cloud
    :star:code
  • Deep Depth Estimation From Thermal Image
    :star:code
  • LightedDepth: Video Depth Estimation in Light of Limited Inference View Angles
    :star:code
  • Trap Attention: Monocular Depth Estimation With Manual Traps
    :star:code
  • PlaneDepth: Self-supervised Depth Estimation via Orthogonal Planes
    :star:code
  • Depth Estimation From Indoor Panoramas With Neural Scene Representation
    :star:code
  • Polarimetric iToF:Measuring High-Fidelity Depth Through Scattering Media
  • SCADE: NeRFs from Space Carving With Ambiguity-Aware Depth Estimates
    :star:code
  • iDisc: Internal Discretization for Monocular Depth Estimation
    :house:project
  • HRDFuse: Monocular 360°Depth Estimation by Collaboratively Learning Holistic-with-Regional Depth Distributions
    :house:project
  • Learning to Fuse Monocular and Multi-view Cues for Multi-frame Depth Estimation in Dynamic Scenes
    :star:code
  • Temporally Consistent Online Depth Estimation Using Point-Based Fusion
    :house:project
  • DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium
    :star:code
    :star:code
  • Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation
    :star:code
    :thumbsup:CVPR2023 | 轻量高效的自监督深度估计框架Lite-Mono
• 深度补全
  • CompletionFormer: Depth Completion with Convolutions and Vision Transformers
    :star:code
    :star:code
  • BEV@DC: Bird’s-Eye View Assisted Training for Depth Completion
• 室内场景重建
  • I2-SDF: Intrinsic Indoor Scene Reconstruction and Editing via Raytracing in Neural SDFs
    :house:project
  • SurfelNeRF: Neural Surfel Radiance Fields for Online Photorealistic Reconstruction of Indoor Scenes
  • U2RLE: Uncertainty-Guided 2-Stage Room Layout Estimation
• 场景重建
  • Neural Fields meet Explicit Geometric Representation for Inverse Rendering of Urban Scenes
    :star:code
  • Fast Monocular Scene Reconstruction With Global-Sparse Local-Dense Grids
  • BUOL: A Bottom-Up Framework With Occupancy-Aware Lifting for Panoptic 3D Scene Reconstruction From a Single Image
• 3D场景生成
  • Patch-Based 3D Natural Scene Generation From a Single Example
    :house:project
  • Diffusion-Based Generation, Optimization, and Planning in 3D Scenes
  • MIME: Human-Aware 3D Scene Generation
    :house:project
• MVS
  • Multi-View Stereo Representation Revist: Region-Aware MVSNet
  • Adaptive Patch Deformation for Textureless-Resilient Multi-View Stereo
    :star:code
  • RIAV-MVS: Recurrent-Indexing an Asymmetric Volume for Multi-View Stereo
  • GeoMVSNet: Learning Multi-View Stereo with Geometry Perception
    :star:code
• 三维形状分类
  • Robust 3D Shape Classification via Non-Local Graph Attention Network
• 三维图像
  • Seeing a Rose in Five Thousand Ways
• 三维形状
  • Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching
    :star:code
  • Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures
    :star:code
  • Diffusion-SDF: Text-To-Shape via Voxelized Diffusion
    :star:code
• 三维形状生成 *Diffusion-Based Signed Distance Fields for 3D Shape Generation
  • TAPS3D: Text-Guided 3D Textured Shape Generation From Pseudo Supervision
• 三维形状重建
  • Teleidoscopic Imaging System for Microscale 3D Shape Reconstruction
  • What You Can Reconstruct From a Shadow
• 3D动画
  • RaBit: Parametric Modeling of 3D Biped Cartoon Characters With a Topological-Consistent Dataset
    :house:project
  • MagicPony: Learning Articulated 3D Animals in the Wild
• 室内布局
  • Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation with Cross-Scale Distortion Awareness
    :star:code
• 视频重建
  • Learning Event Guided High Dynamic Range Video Reconstruction
    :house:project

9.Human Pose Estimation(人体姿态估计)

• 手势
  • A2J-Transformer: Anchor-to-Joint Transformer Network for 3D Interacting Hand Pose Estimation from a Single RGB Image
    :star:code3D交互手势姿势估计
  • Neural Voting Field for Camera-Space 3D Hand Pose Estimation
  • AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation
    :star:code
  • Hierarchical Temporal Transformer for 3D Hand Pose Estimation and Action Recognition from Egocentric RGB Videos
    :house:project
  • Cross-Domain 3D Hand Pose Estimation with Dual Modalities
  • 音频驱动的联合语音手势生成
    • Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation
      :star:code
    • QPGesture: Quantization-Based and Phase-Guided Motion Matching for Natural Speech-Driven Gesture Generation
      :star:code
  • 手势合成
    • Co-Speech Gesture Synthesis by Reinforcement Learning With Contrastive Pre-Trained Rewards
      :star:code
    • 3D手势合成
      • Diverse 3D Hand Gesture Prediction from Body Dynamics by Bilateral Hand Disentanglement
  • 手部重建
    • ACR: Attention Collaboration-based Regressor for Arbitrary Two-Hand Reconstruction
      :star:code
    • High Fidelity 3D Hand Shape Reconstruction via Scalable Graph Frequency Decomposition
      :star:code
    • ACR: Attention Collaboration-Based Regressor for Arbitrary Two-Hand Reconstruction
      :star:code
    • HARP: Personalized Hand Reconstruction From a Monocular RGB Video
      :house:project
    • Overcoming the Trade-off Between Accuracy and Plausibility in 3D Hand Shape Reconstruction
    • A Probabilistic Attention Model with Occlusion-aware Texture Regression for 3D Hand Reconstruction from a Single RGB Image
    • gSDF: Geometry-Driven Signed Distance Functions for 3D Hand-Object Reconstruction
      :star:code
    • MeMaHand: Exploiting Mesh-Mano Interaction for Single Image Two-Hand Reconstruction
    • POEM: Reconstructing Hand in a Point Embedded Multi-view Stereo
      :star:code
    • Handy: Towards a high fidelity 3D hand shape and appearance model
      :star:code
  • 3D手部恢复
    • Bringing Inputs to Shared Domains for 3D Interacting Hands Recovery in the Wild
      :star:code
    • Recovering 3D Hand Mesh Sequence from a Single Blurry Image: A New Dataset and Temporal Unfolding
      :star:code
    • Semi-Supervised Hand Appearance Recovery via Structure Disentanglement and Dual Adversarial Discrimination
      :house:project
    • H2ONet: Hand-Occlusion-and-Orientation-Aware Network for Real-Time 3D Hand Mesh Reconstruction
  • 手物姿态估计
    • Harmonious Feature Learning for Interactive Hand-Object Pose Estimation
      :star:code
  • 3D手势预测
    • Diverse 3D Hand Gesture Prediction From Body Dynamics by Bilateral Hand Disentanglement
• 人体
  • HPE
    • DistilPose: Tokenized Pose Regression with Heatmap Distillation
    • Towards Stable Human Pose Estimation via Cross-View Fusion and Foot Stabilization
    • Human Pose As Compositional Tokens
      :star:code
    • Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module
      :star:code
    • TokenHPE: Learning Orientation Tokens for Efficient Head Pose Estimation via Transformers
      :star:code
    • A Characteristic Function-Based Method for Bottom-Up Human Pose Estimation
    • Analyzing and Diagnosing Pose Estimation With Attributions
      :house:project
    • PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation
      :star:code
    • Human Pose as Compositional Tokens
      :star:code
    • Unified Pose Sequence Modeling
    • Mutual Information-Based Temporal Difference Learning for Human Pose Estimation in Video
    • Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation
    • HuManiFlow: Ancestor-Conditioned Normalising Flows on SO(3) Manifolds for Human Pose and Shape Distribution Estimation
      :star:code
    • Human Pose Estimation in Extremely Low-Light Conditions
  • 3D HPE
    • PSVT: End-to-End Multi-person 3D Pose and Shape Estimation with Progressive Video Transformers
    • PLIKS: A Pseudo-Linear Inverse Kinematic Solver for 3D Human Body Estimation
    • NIKI: Neural Inverse Kinematics With Invertible Neural Networks for 3D Human Pose and Shape Estimation
      :star:code
    • DiffPose: Toward More Reliable 3D Pose Estimation
      :house:project
    • Scene-Aware Egocentric 3D Human Pose Estimation
    • Self-Supervised 3D Keypoint Discovery From Multi-View Videos
      :house:project
    • Global-to-Local Modeling for Video-Based 3D Human Pose and Shape Estimation
      :star:code
    • 3D Human Pose Estimation With Spatio-Temporal Criss-Cross Attention
    • Ego-Body Pose Estimation via Ego-Head Pose Estimation
      获奖论文候选
    • Listening Human Behavior: 3D Human Pose Estimation With Acoustic Signals
    • NIKI: Neural Inverse Kinematics with Invertible Neural Networks for 3D Human Pose and Shape Estimation
      :star:code
    • GFPose: Learning 3D Human Pose Prior With Gradient Fields
      :house:project
    • PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation
      :star:code
      :star:code
    • 3D Human Pose Estimation via Intuitive Physics
      :house:project
    • 3D 人体关键点估计
      • 3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels
  • 4D HPE
    • SLOPER4D: A Scene-Aware Dataset for Global 4D Human Pose Estimation in Urban Environments
      :star:code
  • 网格恢复
    • POTTER: Pooling Attention Transformer for Efficient Human Mesh Recovery
      :star:code
    • Deformable Mesh Transformer for 3D Human Mesh Recovery
      :star:code
    • One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer
      :house:project
    • Learning Human Mesh Recovery in 3D Scenes
      :star:code
    • One-Stage 3D Whole-Body Mesh Recovery with Component Aware Transformer
      :star:code
      :thumbsup:CVPR2023 IDEA与清华提出首个一阶段3D全身人体网格重建算法OSX
    • Learning Analytical Posterior Probability for Human Mesh Recovery
      :star:code
    • Implicit 3D Human Mesh Recovery Using Consistency With Pose and Shape From Unseen-View
  • 三维人体网格估计
    • 3D Human Mesh Estimation from Virtual Markers
      :star:code
  • 三维人体网格重建
    • Sampling is Matter: Point-guided 3D Human Mesh Reconstruction
      :star:code
  • 3D人体重建
    • High-fidelity 3D Human Digitization from Single 2K Resolution Images
      :star:code
    • Crowd3D: Towards Hundreds of People Reconstruction From a Single Image
    • PersonNeRF: Personalized Reconstruction From Photo Collections
      :house:project
    • NeMo: 3D Neural Motion Fields from Multiple Video Instances of the Same Action
      :house:project
    • FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER
      :house:project
    • CloSET: Modeling Clothed Humans on Continuous Surface With Explicit Template Decomposition
      :star:code
    • Learning Visibility Field for Detailed 3D Human Reconstruction and Relighting
    • FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER
      :house:project
    • Learning Semantic-Aware Disentangled Representation for Flexible 3D Human Body Editing
      :house:project
    • Complete 3D Human Reconstruction From a Single Incomplete Image
    • High-Fidelity 3D Human Digitization From Single 2K Resolution Images
      :star:code
    • BAAM: Monocular 3D Pose and Shape Reconstruction With Bi-Contextual Attention Module and Attention-Guided Modeling
      :star:code
    • Humans As Light Bulbs: 3D Human Reconstruction From Thermal Reflection
    • Clothed Human Reconstruction(穿衣人体重建)
      • DIFu: Depth-Guided Implicit Function for Clothed Human Reconstruction
        :house:project
      • REC-MV: REconstructing 3D Dynamic Cloth from Monocular Videos
        :star:code
      • SeSDF: Self-evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction
  • 人体形状补全
    • Human Body Shape Completion With Implicit Shape and Flow Learning
• 多人姿态预测
  • Trajectory-Aware Body Interaction Transformer for Multi-Person Pose Forecasting
    :star:code
• 人体解析
  • Semantic Human Parsing via Scalable Semantic Transfer over Multiple Label Domains
    :star:code
• 姿势迁移
  • Zero-shot Pose Transfer for Unrigged Stylized 3D Characters
    :house:project
• Avatar
  • X-Avatar: Expressive Human Avatars
    :house:project
  • Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decomposition
    :house:project

8.Action Detection(人体动作检测与识别)

• Video Test-Time Adaptation for Action Recognition
• A Large-Scale Robustness Analysis of Video Action Recognition Models
• How Can Objects Help Action Recognitio
• MMG-Ego4D: Multimodal Generalization in Egocentric Action Recognition
  :star:code
• Dual-Path Adaptation From Image to Video Transformers
  :star:code
• Hybrid Active Learning via Deep Clustering for Video Action Detection
  :house:project
• Prompt-Guided Zero-Shot Anomaly Action Recognition using Pretrained Deep Skeleton Features
• Learning Action Changes by Measuring Verb-Adverb Textual Relationships
  :star:code
• STMixer: A One-Stage Sparse Action Detector
• AutoLabel: CLIP-based framework for Open-set Video Domain Adaptation
• Search-Map-Search: A Frame Selection Paradigm for Action Recognition
• On the Benefits of 3D Pose and Tracking for Human Action Recognition
  :star:code
• MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition
  :star:code
• SVFormer: Semi-Supervised Video Transformer for Action Recognition
• 基于骨架的动作识别
  • Learning Discriminative Representations for Skeleton Based Action Recognition
  • Actionlet-Dependent Contrastive Learning for Unsupervised Skeleton-Based Action Recognition
    :house:project
  • 3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition
  • HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions
    :star:code
  • Neural Koopman Pooling: Control-Inspired Temporal Dynamics Encoding for Skeleton-Based Action Recognition
• 基于关键点的动作识别
  • Unified Keypoint-based Action Recognition Framework via Structured Keypoint Pooling
• 时序动作识别
  • TriDet: Temporal Action Detection with Relative Boundary Modeling
    :star:code
  • Proposal-Based Multiple Instance Learning for Weakly-Supervised Temporal Action Localization
    :star:code
  • Post-Processing Temporal Action Detection
    :star:code
  • Decomposed Cross-modal Distillation for RGB-based Temporal Action Detection
  • PivoTAL: Prior-Driven Supervision for Weakly-Supervised Temporal Action Localization
• 开集动作识别
  • Open Set Action Recognition via Multi-Label Evidential Learning
  • Enlarging Instance-specific and Class-specific Information for Open-set Action Recognition
    :star:code
• 基于MoCap的动作识别
  • STMT: A Spatial-Temporal Mesh Transformer for MoCap-Based Action Recognition
    :star:code
• 小样本动作识别
  • MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition
    :star:code
  • Active Exploration of Multimodal Complementarity for Few-Shot Action Recognition
• 半监督动作识别
  • TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition
    :star:code
• 时序动作定位
  • Boosting Weakly-Supervised Temporal Action Localization with Text Information
    :star:code
  • Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization Tasks
  • Two-Stream Networks for Weakly-Supervised Temporal Action Localization With Semantic-Aware Mechanisms
  • Cascade Evidential Learning for Open-World Weakly-Supervised Temporal Action Localization
  • Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels
  • Distilling Vision-Language Pre-Training To Collaborate With Weakly-Supervised Temporal Action Localization
  • AdamsFormer for Spatial Action Localization in the Future
  • Re2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization
• 群组动作质量评估
  • LOGO: A Long-Form Video Dataset for Group Action Quality Assessment
    :star:code
• 群体动作识别
  • An Actor-Centric Causality Graph for Asynchronous Temporal Inference in Group Activity

7.Point Cloud(点云)

• FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer
• Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent With Learned Distance Functions
• Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation Learning
• Unsupervised Inference of Signed Distance Functions From Single Sparse Point Clouds Without Learning Priors
• PointVector: A Vector Representation in Point Cloud Analysis
• CLIP2: Contrastive Language-Image-Point Pretraining From Real-World Point Cloud Data
• PointClustering: Unsupervised Point Cloud Pre-Training Using Transformation Invariance in Clustering
• Adversarially Masking Synthetic To Mimic Real: Adaptive Noise Injection for Point Cloud Segmentation Adaptation
• Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching Between Parts and Words
• Attention-Based Point Cloud Edge Sampling
• Meta Architecture for Point Cloud Analysis
• Building Rearticulable Models for Arbitrary 3D Objects From 4D Point Clouds
  :house:project
• Implicit Surface Contrastive Clustering for LiDAR Point Clouds
• Poly-PC: A Polyhedral Network for Multiple Point Cloud Tasks at Once
• TriVol: Point Cloud Rendering via Triple Volumes
• PartManip: Learning Cross-Category Generalizable Part Manipulation Policy from Point Cloud Observations
• PointCMP: Contrastive Mask Prediction for Self-supervised Learning on Point Cloud Videos
• GrowSP: Unsupervised Semantic Segmentation of 3D Point Clouds
• Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting
  :star:code
• ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding
• SE-ORNet: Self-Ensembling Orientation-Aware Network fhttpsor Unsupervised Point Cloud Shape Correspondence
• GeoMAE: Masked Geometric Target Prediction for Self-Supervised Point Cloud Pre-Training
• Neural Intrinsic Embedding for Non-rigid Point Cloud Matching
• 3D Spatial Multimodal Knowledge Accumulation for Scene Graph Prediction in Point Cloud
  :star:code
• SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds
• GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Training
• SCPNet: Semantic Scene Completion on Point Cloud
• NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Clouds
  :star:code
• Rotation-Invariant Transformer for Point Cloud Matching
• Recognizing Rigid Patterns of Unlabeled Point Clouds by Complete and Continuous Isometry Invariants with no False Negatives and no False Positives
  :house:project
• PointCMP: Contrastive Mask Prediction for Self-supervised Learning on Point Cloud Videos
• VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud
  :star:code
• Unsupervised Inference of Signed Distance Functions from Single Sparse Point Clouds without Learning Priors
  :star:code
• Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions
  :star:code
• Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis
• Spatiotemporal Self-supervised Learning for Point Clouds in the Wild
  :star:code
• NerVE: Neural Volumetric Edges for Parametric Curve Extraction from Point Cloud
  :star:code
• IterativePFN: True Iterative Point Cloud Filtering
  :star:code
• Fast Point Cloud Generation With Straight Flows
• GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds
• 3D点云
  • Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis
    :star:code
  • ToThePoint: Efficient Contrastive Learning of 3D Point Clouds via Recycling
  • PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models
    :house:project
  • Starting From Non-Parametric Networks for 3D Point Cloud Analysis
    :star:code
  • Learnable Skeleton-Aware 3D Point Cloud Sampling
  • GraVoS: Voxel Selection for 3D Point-Cloud Detection
  • MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds
    :star:code
  • NeuralPCI: Spatio-temporal Neural Field for 3D Point Cloud Multi-frame Non-linear Interpolation
    :star:code
    :star:code
  • Rethinking the Approximation Error in 3D Surface Fitting for Point Cloud Normal Estimation
    :star:code
• 点云实例分割
  • ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic Convolution
• 点云分类
  • PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees
  • CAP: Robust Point Cloud Classification via Semantic and Structural Modeling
  • ViewNet: A Novel Projection-Based Backbone With View Pooling for Few-Shot Point Cloud Classification
• 点云补全
  • ProxyFormer: Proxy Alignment Assisted Point Cloud Completion with Missing Part Sensitive Transformer
    :star:code
  • Symmetric Shape-Preserving Autoencoder for Unsupervised Real Scene Point Cloud Completion
  • ACL-SPC: Adaptive Closed-Loop system for Self-Supervised Point Cloud Completion
    :star:code
  • AnchorFormer: Point Cloud Completion From Discriminative Nodes
    :star:code
  • Hyperspherical Embedding for Point Cloud Completion
• 点云配准
  • Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration
    :star:code
  • PEAL: Prior-Embedded Explicit Attention Learning for Low-Overlap Point Cloud Registration
  • Unsupervised Deep Probabilistic Approach for Partial Point Cloud Registration
  • Robust Multiview Point Cloud Registration with Reliable Pose Graph Initialization and History Reweighting
    :star:code
  • BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration
    :star:code
• 点云理解
  • Self-positioning Point-based Transformer for Point Cloud Understanding
    :star:code
• 点云重建
  • Learning To Measure the Point Cloud Reconstruction Loss in a Representation Space
• 点云匹配
  • Neural Intrinsic Embedding for Non-Rigid Point Cloud Matching
• 点云分割 *Improving Graph Representation for Point Cloud Segmentation via Attentive Filtering
• 点云压缩
  • Efficient Hierarchical Entropy Model for Learned Point Cloud Compression

6.Object Tracking(目标跟踪)

• Data-Driven Feature Tracking for Event Cameras
• Autoregressive Visual Tracking
  :star:code
• Propagate And Calibrate: Real-time Passive Non-line-of-sight Tracking
  :house:project
• Unifying Short and Long-Term Tracking With Graph Hierarchies
  :house:project
• VideoTrack: Learning To Track Objects via Video Transformer
• Tracking Through Containers and Occluders in the Wild
  :house:project
• Frame-Event Alignment and Fusion Network for High Frame Rate Tracking
• Propagate And Calibrate: Real-time Passive Non-line-of-sight Tracking
  :star:code
• Joint Visual Grounding and Tracking with Natural Language Specification
  :star:code
• Generalized Relation Modeling for Transformer Tracking
  :star:code
• SeqTrack: Sequence to Sequence Learning for Visual Object Tracking
• Tracking through Containers and Occluders in the Wild
  :house:project
• DropMAE: Masked Autoencoders with Spatial-Attention Dropout for Tracking Tasks
  :star:code
• CXTrack: Improving 3D Point Cloud Tracking With Contextual Information
• Representation Learning for Visual Object Tracking by Masked Appearance Transfer
  :star:code
• 3D-POP - An Automated Annotation Approach to Facilitate Markerless 2D-3D Tracking of Freely Moving Birds With Marker-Based Motion Capture
• 多目标跟踪
  • Referring Multi-Object Tracking
    :star:code
  • Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking
  • Simple Cues Lead to a Strong Multi-Object Tracker
  • Tracking Multiple Deformable Objects in Egocentric Videos
    :house:project
  • MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors
    :star:code
  • UTM: A Unified Multiple Object Tracking Model With Identity-Aware Feature Enhancement
  • Focus on Details: Online Multi-Object Tracking With Diverse Fine-Grained Representation
  • Standing Between Past and Future: Spatio-Temporal Modeling for Multi-Camera 3D Multi-Object Tracking
    :star:code
  • MotionTrack: Learning Robust Short-term and Long-term Motions for Multi-Object Tracking
  • OVTrack: Open-Vocabulary Multiple Object Tracking
    :house:project
• 多模态跟踪
  • Visual Prompt Multi-Modal Tracking
    :star:code
• RGB-T tracking(可见光图像（RGB）和热红外图像（T）结合起来进行目标追踪)
  • Bridging Search Region Interaction With Template for RGB-T Tracking
    :star:code
  • Efficient RGB-T Tracking via Cross-Modality Distillation

5.Object Detection(目标检测)

• Angelic Patches for Improving Third-Party Object Detector Performance
• STDLens: Model Hijacking-Resilient Federated Learning for Object Detection
• Enhanced Training of Query-Based Object Detection via Selective Query Recollection
• The Differentiable Lens: Compound Lens Search Over Glass Surfaces and Materials for Object Detection
• Multi-view Adversarial Discriminator: Mine the Non-causal Factors for Object Detection in Unseen Domains
  :star:code
• Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding
• NeRF-RPN: A General Framework for Object Detection in NeRFs
  :star:code
• Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors
• Towards Building Self-Aware Object Detectors via Reliable Uncertainty Quantification and Calibration
  :star:code
• Gaussian Label Distribution Learning for Spherical Image Object Detection
• Rawgment: Noise-Accounted RAW Augmentation Enables Recognition in a Wide Variety of Environments
• Towards Unsupervised Object Detection From LiDAR Point Clouds
  :house:project
• Mask DINO: Towards a Unified Transformer-Based Framework for Object Detection and Segmentation
  :star:code
• T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection
  :star:code
• Recurrent Vision Transformers for Object Detection With Event Cameras
• Learned Two-Plane Perspective Prior Based Image Resampling for Efficient Object Detection
• Normalizing Flow Based Feature Synthesis for Outlier-Aware Object Detection
• YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors
  :star:code
• MetaFusion: Infrared and Visible Image Fusion via Meta-Feature Embedding From Object Detection
  :star:code
• Doubly Right Object Recognition: A Why Prompt for Visual Rationales
• Phase-Shifting Coder: Predicting Accurate Orientation in Oriented Object Detection
  :star:code
• Unbalanced Optimal Transport: A Unified Framework for Object Detection
• CLIP the Gap: A Single Domain Generalization Approach for Object Detection
• Learning Transformations To Reduce the Geometric Shift in Object Detection
• Object Detection With Self-Supervised Scene Adaptation
  :star:code
• Lite DETR : An Interleaved Multi-Scale Encoder for Efficient DETR
  :star:code
• SAP-DETR: Bridging the Gap Between Salient Points and Queries-Based Transformer Detector for Fast Model Convergency
  :star:code
• Multiclass Confidence and Localization Calibration for Object Detection
  :star:code
• Mobile User Interface Element Detection Via Adaptively Prompt Tuning
• DynamicDet: A Unified Dynamic Architecture for Object Detection
  :star:code
• ZBS: Zero-shot Background Subtraction via Instance-level Background Modeling and Foreground Selection
  :star:code
• Curricular Object Manipulation in LiDAR-based Object Detection
  :star:code
• STDLens: Model Hijacking-resilient Federated Learning for Object Detection
  :star:code
• What Can Human Sketches Do for Object Detection?
  :star:code
• Unknown Sniffer for Object Detection: Don't Turn a Blind Eye to Unknown Objects
  :star:code
• Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection
  :star:code
• Learned Two-Plane Perspective Prior based Image Resampling for Efficient Object Detection
• T-SEA: Transfer-based Self-Ensemble Attack on Object Detection
  :star:code
  :thumbsup:CVPR 2023 | 北大提出T-SEA: 自集成策略实现更强的黑盒攻击迁移性
• Knowledge Combination to Learn Rotated Detection Without Rotated Annotation
• Universal Instance Perception as Object Discovery and Retrieval
  :star:code
• Continual Detection Transformer for Incremental Object Detection目标检测
• Multi-view Adversarial Discriminator: Mine the Non-causal Factors for Object Detection in Unseen Domains
  :star:code目标检测
• 开放词汇目标检测
  • Aligning Bag of Regions for Open-Vocabulary Object Detection
    :star:code
  • Region-Aware Pretraining for Open-Vocabulary Object Detection With Vision Transformers
  • DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-Training via Word-Region Alignment
  • OvarNet: Towards Open-vocabulary Object Attribute Recognition
    :thumbsup:CVPR2023｜小红书提出 OvarNet 模型：开集预测的新SOTA，“万物识别”有了新玩法
  • Learning To Detect and Segment for Open Vocabulary Object Detection
  • Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers
  • Object-Aware Distillation Pyramid for Open-Vocabulary Object Detection
    :star:code
  • CORA: Adapting CLIP for Open-Vocabulary Detection with Region Prompting and Anchor Pre-Matching
  • DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment
• 开放世界目标检测
  • Annealing-Based Label-Transfer Learning for Open World Object Detection
    :star:code
  • CapDet: Unifying Dense Captioning and Open-World Detection Pretraining
  • PROB: Probabilistic Objectness for Open World Object Detection
    :star:code
  • CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection
  • Detecting Everything in the Open World: Towards Universal Object Detection
    :star:code
    :thumbsup:CVPR 2023 | 标注500类，检测7000类！清华大学等提出通用目标检测算法UniDetector
• 目标定位
  • LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding
    :house:project
  • Egocentric Audio-Visual Object Localization
  • Unsupervised Object Localization: Observing the Background To Discover Objects
    :star:code
  • NeurOCS: Neural NOCS Supervision for Monocular 3D Object Localization
• 3D OD
  • Virtual Sparse Convolution for Multimodal 3D Object Detection
    :star:code
  • Bi3D: Bi-Domain Active Learning for Cross-Domain 3D Object Detection
  • MSMDFusion: Fusing LiDAR and Camera at Multiple Scales With Multi-Depth Seeds for 3D Object Detection
  • BEVHeight: A Robust Framework for Vision-Based Roadside 3D Object Detection
  • UniDistill: A Universal Cross-Modality Knowledge Distillation Framework for 3D Object Detection in Bird's-Eye View
  • PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection
    :star:code
  • AShapeFormer: Semantics-Guided Object-Level Active Shape Encoding for 3D Object Detection via Transformers
    :star:code
  • BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks
  • 3D Video Object Detection With Learnable Object-Centric Global Optimization
    :star:code
  • ConQueR: Query Contrast Voxel-DETR for 3D Object Detection
    :house:project
  • Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection
    :star:code
  • Uni3D: A Unified Baseline for Multi-Dataset 3D Object Detection
    :star:code
  • Distilling Focal Knowledge From Imperfect Expert for 3D Object Detection
    :star:code
  • Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark
    :star:code
  • Deep Dive Into Gradients: Better Optimization for 3D Object Detection With Gradient-Corrected IoU Supervision
    :star:code
  • AeDet: Azimuth-invariant Multi-view 3D Object Detection
    :star:code
  • FrustumFormer: Adaptive Instance-Aware Resampling for Multi-View 3D Detection
    :star:code
  • PVT-SSD: Single-Stage 3D Object Detector With Point-Voxel Transformer
  • itKD: Interchange Transfer-Based Knowledge Distillation for 3D Object Detection
  • OcTr: Octree-Based Transformer for 3D Object Detection
  • MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences
  • Semi-Supervised Stereo-Based 3D Object Detection via Cross-View Consensus
  • LinK: Linear Kernel for LiDAR-based 3D Perception
    :star:code
  • PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds
  • PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer
    :star:code
  • 3D Video Object Detection with Learnable Object-Centric Global Optimization
    :star:code
  • Density-Insensitive Unsupervised Domain Adaption on 3D Object Detection
    :star:code
  • X3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection
    :star:code
  • Understanding the Robustness of 3D Object Detection with Bird's-Eye-View Representations in Autonomous Driving
  • Weakly Supervised Monocular 3D Object Detection using Multi-View Projection and Direction Consistency
    :star:code
  • Viewpoint Equivariance for Multi-View 3D Object Detection
    :star:code
  • Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving
    :star:code
  • Collaboration Helps Camera Overtake LiDAR in 3D Detection
    :star:code
    :star:code
  • OcTr: Octree-based Transformer for 3D Object Detection
  • MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud Sequences
    :star:code
  • MonoATT: Online Monocular 3D Object Detection with Adaptive Token Transformer
  • MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training
    :star:code
  • NS3D: Neuro-Symbolic Grounding of 3D Objects and Relations
  • VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking
    :star:code
  • Bi3D: Bi-domain Active Learning for Cross-domain 3D Object Detection
    :star:code
  • LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion
    :star:code
  • PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection
    :star:code
  • CAPE: Camera View Position Embedding for Multi-View 3D Object Detection
    :star:code
  • Uni3D: A Unified Baseline for Multi-dataset 3D Object Detection
    :star:code
  • Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection
    :star:code3D目标检测
• 端到端目标检测
  • Dense Distinct Query for End-to-End Object Detection
    :star:code
• 半监督目标检测
  • Active Teacher for Semi-Supervised Object Detection
    :star:code
  • Semi-DETR: Semi-Supervised Object Detection With Detection Transformers
  • Consistent-Teacher: Towards Reducing Inconsistent Pseudo-Targets in Semi-Supervised Object Detection
    :star:code
  • SOOD: Towards Semi-Supervised Oriented Object Detection
    :star:code
  • MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection
    :star:code
• 弱监督目标检测
  • DETR with Additional Global Aggregation for Cross-domain Weakly Supervised Object Detection
• 小样本目标检测
  • NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging
  • Generating Features with Increased Crop-related Diversity for Few-Shot Object Detection
  • Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detection
  • DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection
    :star:code
• 域适应目标检测
  • 2PCNet: Two-Phase Consistency Training for Day-to-Night Unsupervised Domain Adaptive Object Detection
  • AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection
    :star:code
  • CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection
  • Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection
    :house:project
  • Domain Adaptive Detection Transformer With Information Fusion
  • Harmonious Teacher for Cross-Domain Object Detection
  • Contrastive Mean Teacher for Domain Adaptive Object Detectors
• 弱样本目标检测
  • Weak-Shot Object Detection Through Mutual Knowledge Transfe
• 显著目标检测
  • Sketch2Saliency: Learning to Detect Salient Objects from Human Drawings
  • Pixels, Regions, and Objects: Multiple Enhancement for Salient Object Detection
  • Modeling the Distributional Uncertainty for Salient Object Detection Models
    :star:code
  • Test Time Adaptation With Regularized Loss for Weakly Supervised Salient Object Detection
  • Texture-Guided Saliency Distilling for Unsupervised Salient Object Detection
• 红外目标检测
  • Physically Adversarial Infrared Patches with Learnable Shapes and Locations
  • TOPLight: Lightweight Neural Networks With Task-Oriented Pretraining for Visible-Infrared Recognition
• 伪装目标检测
  • Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers
    :star:code
    :star:code
  • Camouflaged Object Detection With Feature Decomposition and Edge Reconstruction
    :star:code
• 密集目标检测
  • Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection
    :star:code
• 协同目标检测
  • Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection
    :star:code
  • Co-Salient Object Detection With Uncertainty-Aware Group Exchange-Masking
• 点云目标检测
  • Open-Vocabulary Point-Cloud Object Detection Without 3D Annotation
• 目标发现
  • Object Discovery from Motion-Guided Tokens
• 视频目标检测
  • Feature Aggregated Queries for Transformer-Based Video Object Detectors
• 小目标检测
  • Dynamic Coarse-to-Fine Learning for Oriented Tiny Object Detection
    :star:code
  • Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection With Single Point Supervision
    :star:code
  • Distilling Scale-Aware Knowledge in Small Object Detector
  • LSTFE-Net:Long Short-Term Feature Enhancement Network for Video Small Object Detection
    :star:code
  • 红外小目标检测
    • Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection with Single Point Supervision
      :star:code
• 线段检测
  • DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients
    :star:code
• 目标导航
  • CoWs on Pasture: Baselines and Benchmarks for Language-Driven Zero-Shot Object Navigation

4.Image Captioning(图像字幕生成)

• 视频字幕
  • Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning
    :house:project
  • Text with Knowledge Graph Augmented Transformer for Video Captioning
  • Positive-Augmented Constrastive Learning for Image and Video Captioning Evaluation
    :star:code
• 图像字幕
  • Cross-Domain Image Captioning with Discriminative Finetuning
  • Crossing the Gap: Domain Generalization for Image Captioning
  • Model-Agnostic Gender Debiased Image Captioning
  • A-CAP: Anticipation Captioning with Commonsense Knowledge字幕
  • Positive-Augmented Contrastive Learning for Image and Video Captioning Evaluation
    :star:code
  • HAAV: Hierarchical Aggregation of Augmented Views for Image Captioning
  • Semantic-Conditional Diffusion Networks for Image Captioning
    :star:code
  • ConZIC: Controllable Zero-Shot Image Captioning by Sampling-Based Polishing
  • SmallCap: Lightweight Image Captioning Prompted With Retrieval Augmentation
• story generation(视觉故事生成)
  • Make-A-Story: Visual Memory Conditioned Consistent Story Generation
• 3D密集字幕
  • End-to-End 3D Dense Captioning With Vote2Cap-DETR

3.Image Progress(低层图像处理、质量评价)

• Initialization Noise in Image Gradients and Saliency Maps
• Learning a Practical SDR-to-HDRTV Up-conversion using New Dataset and Degradation Models
  :star:code
• Tunable Convolutions with Parametric Multi-Loss Optimization
• 图像着色
  • L-CoIns: Language-based Colorization with Instance Awareness
  • 色彩恢复
    • GamutMLP: A Lightweight MLP for Color Loss Recovery
      :house:project
• 阴影去除
  • ShadowDiffusion: When Degradation Prior Meets Diffusion Model for Shadow Removal
  • Document Image Shadow Removal Guided by Color-Aware Background
  • DANI-Net: Uncalibrated Photometric Stereo by Differentiable Shadow Handling, Anisotropic Reflectance Modeling, and Neural Inverse Rendering
• 图像恢复
  • Efficient and Explicit Modelling of Image Hierarchies for Image Restoration
    :star:code
  • Visual Recognition-Driven Image Restoration for Multiple Degradation With Intrinsic Semantics Recovery
  • Learning Weather-General and Weather-Specific Features for Image Restoration Under Multiple Adverse Weather Conditions
  • Generating Aligned Pseudo-Supervision From Non-Aligned Data for Image Restoration in Under-Display Camera
    :star:code
  • Comprehensive and Delicate: An Efficient Transformer for Image Restoration
  • Ingredient-Oriented Multi-Degradation Learning for Image Restoration
  • All-in-One Image Restoration for Unknown Degradations Using Adaptive Discriminative Filters for Specific Degradations
  • Contrastive Semi-Supervised Learning for Underwater Image Restoration via Reliable Bank
    :star:code
  • Burstormer: Burst Image Restoration and Enhancement Transformer
  • Generating Aligned Pseudo-Supervision from Non-Aligned Data for Image Restoration in Under-Display Camera
    :star:code
  • Generative Diffusion Prior for Unified Image Restoration and Enhancement
  • Bitstream-Corrupted JPEG Images are Restorable: Two-stage Compensation and Alignment Framework for Image Restoration
    :star:code
  • Learning Distortion Invariant Representation for Image Restoration From a Causality Perspective
    :star:code
  • Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack
  • Robust Unsupervised StyleGAN Image Restoration
    :house:project
• 图像修复
  • NUWA-LIP: Language-guided Image Inpainting with Defect-free VQGAN
    :star:code
  • Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting
  • SmartBrush: Text and Shape Guided Object Inpainting With Diffusion Model
• 视频恢复
  • A Simple Baseline for Video Restoration With Grouped Spatial-Temporal Shift
    :star:code
• 视频修复
  • Deep Stereo Video Inpainting
  • Semi-Supervised Video Inpainting With Cycle Consistency Constraints
• 图像照明
  • Controllable Light Diffusion for Portraits
• 图像质量评估
  • Quality-aware Pre-trained Models for Blind Image Quality Assessment
  • Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective
    :star:code
  • Quality-Aware Pre-Trained Models for Blind Image Quality Assessment
  • An Image Quality Assessment Dataset for Portraits
    :star:code
  • Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild
• 去雾
  • Video Dehazing via a Multi-Range Temporal Alignment Network with Physical Prior
    :star:code
  • Curricular Contrastive Regularization for Physics-aware Single Image Dehazing
  • Curricular Contrastive Regularization for Physics-Aware Single Image Dehazing
  • Efficient Frequency Domain-Based Transformers for High-Quality Image Deblurring
    :star:code
  • RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors
• 去雨
  • Learning A Sparse Transformer Network for Effective Image Deraining
    :star:code
  • SmartAssign: Learning a Smart Knowledge Assignment Strategy for Deraining and Desnowing
    :house:project
• 去噪
  • Masked Image Training for Generalizable Deep Image Denoising
  • Real-Time Controllable Denoising for Image and Video
  • Patch-Craft Self-Supervised Training for Correlated Image Denoising
  • Polarized Color Image Denoising
  • sRGB Real Noise Synthesizing With Neighboring Correlation-Aware Noise Model
    :star:code
  • Zero-Shot Noise2Noise: Efficient Image Denoising Without Any Data
    :house:project
  • HouseDiffusion: Vector Floorplan Generation via a Diffusion Model With Discrete and Continuous Denoising
    :house:project
  • Structure Aggregation for Cross-Spectral Stereo Image Guided Denoising
    :star:code
  • Spatially Adaptive Self-Supervised Learning for Real-World Image Denoising
    :star:code
  • Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising
    :star:code
  • Real-time Controllable Denoising for Image and Video
  • LG-BPN: Local and Global Blind-Patch Network for Self-Supervised Real-World Denoising
    :star:code
  • Efficient View Synthesis and 3D-based Multi-Frame Denoising with Multiplane Feature Representations
  • Learning with Noisy labels via Self-supervised Adversarial Noisy Masking去噪
  • Learning from Noisy Labels with Decoupled Meta Label Purifier去噪
• 去模糊
  • HyperCUT: Video Sequence from a Single Blurry Image using Unsupervised Ordering
    :star:code
  • Neumann Network With Recursive Kernels for Single Image Defocus Deblurring
  • K3DN: Disparity-Aware Kernel Estimation for Dual-Pixel Defocus Deblurring
  • Uncertainty-Aware Unsupervised Image Deblurring With Deep Residual Prior
  • $\text{DC}^2$: Dual-Camera Defocus Control by Learning to Refocus
    :star:code去模糊
  • Self-Supervised Non-Uniform Kernel Estimation With Flow-Based Motion Prior for Blind Image Deblurring
    :house:project
  • Joint Video Multi-Frame Interpolation and Deblurring Under Unknown Exposure Time
    :star:code
  • Event-Based Frame Interpolation With Ad-Hoc Deblurring
  • Deep Discriminative Spatial and Temporal Network for Efficient Video Deblurring
• 去鬼影
  • A Unified HDR Imaging Method with Pixel and Patch Level
  • SMAE: Few-shot Learning for HDR Deghosting with Saturation-Aware Masked Autoencoders
• 去反射光斑
  • Nighttime Smartphone Reflective Flare Removal Using Optical Center Symmetry Prior
    :star:code
• image deweathering
  • WeatherStream: Light Transport Automation of Single Image Deweathering
    :house:project
• 图像缩放
  • HyperThumbnail: Real-time 6K Image Rescaling with Rate-distortion Optimization
    :star:code
  • Real-time 6K Image Rescaling with Rate-distortion Optimization
    :star:code
• 瞬间恢复与增强
  • Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancement
• 图像增强
  • Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement
  • Realistic Saliency Guided Image Enhancement
  • Learning a Simple Low-Light Image Enhancer From Paired Low-Light Instances
    :star:code
  • Low-Light Image Enhancement via Structure Modeling and Guidance
  • You Do Not Need Additional Priors or Regularizers in Retinex-Based Low-Light Image Enhancement
• 图像和谐化
  • LEMaRT: Label-Efficient Masked Region Transform for Image Harmonization
  • Semi-supervised Parametric Real-world Image Harmonization
  • PCT-Net: Full Resolution Image Harmonization Using Pixel-Wise Color Transformations
• 图像曝光校正
  • Decoupling-and-Aggregating for Image Exposure Correction
• 物体移除
  • Automatic High Resolution Wire Segmentation and Removal
    :star:code
• Image Decomposition
  • Light Source Separation and Intrinsic Image Decomposition Under AC Illumination
  • Context-aware Pretraining for Efficient Blind Image Decomposition
  • Unsupervised Intrinsic Image Decomposition With LiDAR Intensity
• 图像重建
  • Raw Image Reconstruction With Learned Compact Metadata
    :star:code
  • Catch Missing Details: Image Reconstruction with Frequency Augmented Variational Autoencoder
  • High-Resolution Image Reconstruction With Latent Diffusion Models From Human Brain Activity
    :house:project
  • PermutoSDF: Fast Multi-View Reconstruction with Implicit Surfaces using Permutohedral Lattices
    :house:project
• 文本驱动的图像处理
  • DeltaEdit: Exploring Text-Free Training for Text-Driven Image Manipulation
    :star:code
• 运动模糊
  • Self-supervised Blind Motion Deblurring with Deep Expectation Maximization
• 图像裁剪
  • Image Cropping With Spatial-Aware Feature and Rank Consistency
• 图像重照明
  • Weakly-supervised Single-view Image Relighting
    :house:project
  • SunStage: Portrait Reconstruction and Relighting Using the Sun as a Light Stage
• 模糊帧插值
  • Event-Based Blurry Frame Interpolation Under Blind Exposure

2.Image Segmentation(图像分割)

• MED-VT: Multiscale Encoder-Decoder Video Transformer With Application To Object Segmentation
• SimpSON: Simplifying Photo Cleanup With Single-Click Distracting Object Segmentation Network
• Towards Open-World Segmentation of Parts
• Heat Diffusion Based Multi-Scale and Geometric Structure-Aware Transformer for Mesh Segmentation
• MOVES: Manipulated Objects in Video Enable Segmentation
• Decoupled Semantic Prototypes Enable Learning From Diverse Annotation Types for Semi-Weakly Segmentation in Expert-Driven Domains
• Compositor: Bottom-Up Clustering and Compositing for Robust Part and Object Segmentation
• VectorFloorSeg: Two-Stream Graph Attention Network for Vectorized Roughcast Floorplan Segmentation
  :star:code
• Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervisio
• OneFormer: One Transformer To Rule Universal Image Segmentation
  :house:project
• PanelNet: Understanding 360 Indoor Environment via Panel Representation
• AutoFocusFormer: Image Segmentation off the Grid
• MP-Former: Mask-Piloted Transformer for Image Segmentation
  :star:code
• Explicit Visual Prompting for Low-Level Structure Segmentations
  :star:code
• Focused and Collaborative Feedback Integration for Interactive Image Segmentation
  :star:code
• FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation
  :house:project
  在 VIS、VOS、MOTS 三个下游视频分割任务的五个数据集上，将 InstMove 插入到现有 SOTA 模型可以进一步带来 1~5 个点的提升。
• MED-VT: Multiscale Encoder-Decoder Video Transformer with Application to Object Segmentation分割
• 零样本分割
  • Primitive Generation and Semantic-Related Alignment for Universal Zero-Shot Segmentation
    :house:project
    :thumbsup:CVPR23 | 浙大、NTU提出零样本通用分割框架PADing
• 3D分割
  • EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision
    :house:project
• 全景分割
  • CoMFormer: Continual Learning in Semantic and Panoptic Segmentation
  • Center Focusing Network for Real-Time LiDAR Panoptic Segmentation
  • Context-Aware Relative Object Queries To Unify Video Instance and Panoptic Segmentation
  • 实时全景分割
    • You Only Segment Once: Towards Real-Time Panoptic Segmentation
      :star:code
  • 域适应全景分割
    • UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer via Hierarchical Mask Calibration
  • 开放词汇全景分割
    • Open-Vocabulary Panoptic Segmentation With Text-to-Image Diffusion Models
      :star:code
• 实例分割
  • DynaMask: Dynamic Mask Selection for Instance Segmentation
    :star:code
  • Tree Instance Segmentation With Temporal Contour Graph
  • Hi4D: 4D Instance Segmentation of Close Human Interaction
  • Beyond mAP: Towards Better Evaluation of Instance Segmentation
  • Boosting Low-Data Instance Segmentation by Unsupervised Pre-Training With Saliency Prompt
  • Cut and Learn for Unsupervised Object Detection and Instance Segmentation
    :star:code
  • PartDistillation: Learning Parts From Instance Segmentation
    :star:code
  • Iterative Next Boundary Detection for Instance Segmentation of Tree Rings in Microscopy Images of Shrub Cross Sections
    :star:code
  • AttentionShift: Iteratively Estimated Part-Based Attention Map for Pointly Supervised Instance Segmentation
  • DoNet: Deep De-overlapping Network for Cytology Instance Segmentation
    :star:code
  • FastInst: A Simple Query-Based Model for Real-Time Instance Segmentation
    :star:code
  • Camouflaged Instance Segmentation via Explicit De-Camouflaging
  • 无监督实例分割
    • Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation With Exemplars
  • 弱监督实例分割
    • SIM: Semantic-aware Instance Mask Generation for Box-Supervised Instance Segmentation
      :star:code
    • BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation
      :star:code
    • The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation
      :star:code
  • 开放词汇实例分割
    • Mask-free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations
      :star:code
  • 零样本实例分割
    • Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance Segmentation
      :house:project
• 语义分割
  • IFSeg: Image-free Semantic Segmentation via Vision-Language Model
    :star:code
  • Transformer Scale Gate for Semantic Segmentation
  • Towards Better Stability and Adaptability: Improve Online Self-Training for Model Adaptation in Semantic Segmentation
  • BAEFormer: Bi-Directional and Early Interaction Transformers for Bird's Eye View Semantic Segmentation
  • Combining Implicit-Explicit View Correlation for Light Field Semantic Segmentation
  • Pruning Parameterization With Bi-Level Optimization for Efficient Semantic Segmentation on the Edge
  • Less Is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation
  • SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation
  • PIDNet: A Real-Time Semantic Segmentation Network Inspired by PID Controllers
  • Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions
  • PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation
    :star:code
  • Understanding Imbalanced Semantic Segmentation Through Neural Collapse
    :star:code
  • Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation
    :star:code
  • Single Domain Generalization for LiDAR Semantic Segmentation
    :star:code
  • FedSeg: Class-Heterogeneous Federated Learning for Semantic Segmentation
  • Proximal Splitting Adversarial Attack for Semantic Segmentation
    :star:code
  • On Calibrating Semantic Segmentation Models: Analyses and an Algorithm
  • Incrementer: Transformer for Class-Incremental Semantic Segmentation With Knowledge Distillation Focusing on Old Class
  • Content-Aware Token Sharing for Efficient Semantic Segmentation With Vision Transformers
  • Endpoints Weight Fusion for Class Incremental Semantic Segmentation
  • Sparsely Annotated Semantic Segmentation With Adaptive Gaussian Mixtures
    :star:code
  • ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation
  • Improving Robustness of Semantic Segmentation to Motion-Blur Using Class-Centric Augmentation
  • Dynamic Focus-Aware Positional Queries for Semantic Segmentation
    :star:code
  • Continual Semantic Segmentation With Automatic Memory Sample Selection
  • Learning Open-Vocabulary Semantic Segmentation Models From Natural Language Supervision
  • Dynamically Instance-Guided Adaptation: A Backward-Free Approach for Test-Time Domain Adaptive Semantic Segmentation
    :star:code
  • Federated Incremental Semantic Segmentation
    :star:code
  • Delivering Arbitrary-Modal Semantic Segmentation
    :star:code
  • Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation
  • A Simple Framework for Text-Supervised Semantic Segmentation
    :star:code
    在 PASCAL VOC 2012、PASCAL Context 和 COCO 数据集上的表现明显优于之前最先进的方法。
  • Mask3D: Pre-training 2D Vision Transformers by Learning Masked 3D Priors
  • Generative Semantic Segmentation
    :star:code
  • Reliability in Semantic Segmentation: Are We on the Right Track?
    :star:code
  • Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation
  • Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation
    :star:code
  • Instant Domain Augmentation for LiDAR Semantic Segmentation
    :house:project
  • Delving into Shape-aware Zero-shot Semantic Segmentation
    :star:code
  • 开放词汇语义分割
    • Open Vocabulary Semantic Segmentation With Patch Aligned Contrastive Learning
    • Open-Vocabulary Semantic Segmentation With Mask-Adapted CLIP
      :house:project
    • Side Adapter Network for Open-Vocabulary Semantic Segmentation
      :star:code
      :thumbsup:CVPR2023 Highlight | Side Adapter Network – 极致轻薄却性能强劲的开放词汇语义分割器
  • 开放世界语义分割
    • Learning to Generate Text-grounded Mask for Open-world Semantic Segmentation from Only Image-Text Pairs
      :star:code
  • 域适应语义分割
    • DiGA: Distil to Generalize and then Adapt for Domain Adaptive Semantic Segmentation
      :star:code
    • Weakly-Supervised Domain Adaptive Semantic Segmentation With Prototypical Contrastive Learning
    • Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation With Implicit Neural Representations
      :star:code
  • 域泛化语义分割
    • HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation
      :star:code
    • Style Projected Clustering for Domain Generalized Semantic Segmentation
      :star:code
  • 无监督语义分割
    • Leveraging Hidden Positives for Unsupervised Semantic Segmentation
      :star:code
    • Network-Free, Unsupervised Semantic Segmentation With Synthetic Images
  • 半监督语义分割
    • Conflict-Based Cross-View Consistency for Semi-Supervised Semantic Segmentation
      :star:code
    • Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
    • Hunting Sparsity: Density-Guided Contrastive Learning for Semi-Supervised Semantic Segmentation
      :star:code
    • Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation
    • LaserMix for Semi-Supervised LiDAR Semantic Segmentation
      :star:code
    • Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation
    • Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation
  • 弱监督语义分割
    • Token Contrast for Weakly-Supervised Semantic Segmentation
      :star:code
    • CLIP Is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation
    • Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation
      :star:code
    • Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation
    • Weakly Supervised Semantic Segmentation via Adversarial Learning of Classifier and Reconstructor
      :star:code
  • 自监督语义分割
    • CLIP-S4: Language-Guided Self-Supervised Semantic Segmentation
  • 点云语义分割
    • Novel Class Discovery for 3D Point Cloud Semantic Segmentation
      :star:code
  • 零样本语义分割
    • Delving Into Shape-Aware Zero-Shot Semantic Segmentation
      :star:code
    • ZegCLIP: Towards Adapting CLIP for Zero-Shot Semantic Segmentation
  • 小样本语义分割
    • MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation
      :star:code
    • A Strong Baseline for Generalized Few-Shot Semantic Segmentation
      :star:code
    • Learning Orthogonal Prototypes for Generalized Few-Shot Semantic Segmentation
  • 长尾语义分割
    • Balancing Logit Variation for Long-Tailed Semantic Segmentation
      :star:code
  • 3D 语义分割
    • Seg3D: Multi-modal 3D Semantic Segmentation for Autonomous Driving
      :star:code
    • 3D Semantic Segmentation in the Wild: Learning Generalized Models for Adverse-Condition Point Clouds
      :star:code
  • 开集语义分割
    • Open-Set Semantic Segmentation for Point Clouds via Adversarial Prototype Framework
• 交互式分割
  • Interactive Segmentation as Gaussian Process Classification
    :star:code
  • Interactive Segmentation of Radiance Fields
    :house:project
  • Efficient Mask Correction for Click-Based Interactive Image Segmentation
    :star:code
• 小样本分割
  • Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
    :star:code
  • Rethinking the Correlation in Few-Shot Segmentation: A Buoys View
• VSS
  • Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos
    :star:code
  • Simultaneously Short- and Long-Term Temporal Modeling for Semi-Supervised Video Semantic Segmentation
  • Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free Domain Adaptation for Video Semantic Segmentation
    :star:code
• VOS
  • InstMove: Instance Motion for Object-centric Video Segmentation
    :star:code
  • Breaking the "Object" in Video Object Segmentation
  • Look Before You Match: Instance Understanding Matters in Video Object Segmentation
  • MobileVOS: Real-Time Video Object Segmentation Contrastive Learning meets Knowledge Distillation
  • Boosting Video Object Segmentation via Space-time Correspondence Learning
    :star:code
  • Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual GroupingVOS
  • Unified Mask Embedding and Correspondence Learning for Self-Supervised Video Segmentation
    :star:code
  • Two-shot Video Object Segmentation
    :star:code
  • Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping
• VIS
  • Mask-Free Video Instance Segmentation
    :star:code
    :house:project
    :star:code
  • MDQE: Mining Discriminative Query Embeddings to Segment Occluded Instances on Challenging Videos
    :star:code
  • A Generalized Framework for Video Instance Segmentation
    :star:code
• 场景理解
  • FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding
  • SceneTrilogy: On Human Scene-Sketch and its Complementarity with Photo and Text
    :house:project
  • Movies2Scenes: Using Movie Metadata To Learn Scene Representation
  • Seeing With Sound: Long-range Acoustic Beamforming for Multimodal Scene Understanding
  • Single View Scene Scale Estimation Using Scale Field
  • Neural Part Priors: Learning To Optimize Part-Based Object Completion in RGB-D Scans
  • 3D 场景理解
    • OpenScene: 3D Scene Understanding With Open Vocabularies
    • Long Range Pooling for 3D Large-Scale Scene Understanding
    • Panoptic Lifting for 3D Scene Understanding With Neural Fields
      :house:project
    • FAC: 3D Representation Learning via Foreground Aware Feature Contrast
    • Self-supervised Pre-training with Masked Shape Prediction for 3D Scene Understanding
    • CLIP2Scene: Towards Label-Efficient 3D Scene Understanding by CLIP
      :star:code
    • PLA:Language-driven Open-Vocabulary 3D Scene Understanding
      :star:code
      :house:project
    • MM-3DScene: 3D Scene Understanding by Customizing Masked Modeling With Informative-Preserved Reconstruction and Self-Distilled Consistency
• 抠图
  • Adaptive Human Matting for Dynamic Videos
    :star:code
  • Mask-Guided Matting in the Wild
  • Ultrahigh Resolution Image/Video Matting With Spatio-Temporal Sparsity
    :star:code
  • End-to-End Video Matting With Trimap Propagation
    :star:code
  • Referring Image Matting
    :star:code
• 指代图像分割
  • PolyFormer: Referring Image Segmentation As Sequential Polygon Generation
    :house:project
  • Zero-shot Referring Image Segmentation with Global-Local Context Features
    :star:code
  • Contrastive Grouping With Transformer for Referring Image Segmentation
• 引用表达分割
  • GRES: Generalized Referring Expression Segmentation
    :house:project
    :thumbsup:CVPR23 Highlight 多模态新任务、新数据集：NTU提出广义引用分割问题GRES
  • Meta Compositional Referring Expression Segmentation
  • Learning to Segment Every Referring Object Point by Point
    :star:code
• 运动分割
  • Unsupervised Space-Time Network for Temporally-Consistent Segmentation of Multiple Motions
• 视频分割
  • TarViS: A Unified Approach for Target-Based Video Segmentation
    :star:code
  • Unified Mask Embedding and Correspondence Learning for Self-Supervised Video Segmentation
• 动作分割
  • ASPnet: Action Segmentation With Shared-Private Representation of Multiple Data Sources
  • Reducing the Label Bias for Timestamp Supervised Temporal Action Segmentation

1.other(其它,待分类)

• CIRCLE: Capture in Rich Contextual Environments
• Trainable Projected Gradient Method for Robust Fine-Tuning
• HDR Imaging With Spatially Varying Signal-to-Noise Ratios
• Are Deep Neural Networks SMARTer Than Second Graders?
• Blowing in the Wind: CycleNet for Human Cinemagraphs From Still Images
• Uncertainty-Aware Vision-Based Metric Cross-View Geolocalization
• pCON: Polarimetric Coordinate Networks for Neural Scene Representations
• Two-Stage Co-Segmentation Network Based on Discriminative Representation for Recovering Human Mesh From Videos
• Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate
• Implicit View-Time Interpolation of Stereo Videos Using Multi-Plane Disparities and Non-Uniform Coordinates
• LayoutFormer++: Conditional Graphic Layout Generation via Constraint Serialization and Decoding Space Restriction
• Stare at What You See: Masked Image Modeling Without Reconstruction
• Neural Kaleidoscopic Space Sculpting
• HyperCUT: Video Sequence From a Single Blurry Image Using Unsupervised Ordering
• Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders
• Edges to Shapes to Concepts: Adversarial Augmentation for Robust Vision
• Improved Distribution Matching for Dataset Condensation
• Slimmable Dataset Condensation
• LEGO-Net: Learning Regular Rearrangements of Objects in Rooms
• Neuralizer: General Neuroimage Analysis Without Re-Training
• DETRs With Hybrid Matching
  :star:code
• A Rotation-Translation-Decoupled Solution for Robust and Efficient Visual-Inertial Initialization
• A-La-Carte Prompt Tuning (APT): Combining Distinct Data via Composable Prompting
• Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction
• Hi-LASSIE: High-Fidelity Articulated Shape and Skeleton Discovery From Sparse Image Ensemble
• Decentralized Learning With Multi-Headed Distillation
• On the Convergence of IRLS and Its Variants in Outlier-Robust Estimation
• Learning Joint Latent Space EBM Prior Model for Multi-Layer Generator
• Knowledge Combination To Learn Rotated Detection Without Rotated Annotation
• FlowGrad: Controlling the Output of Generative ODEs With Gradients
• Recurrent Homography Estimation Using Homography-Guided Image Warping and Focus Transformer
• Multi-View Inverse Rendering for Large-Scale Real-World Indoor Scenes
• Boosting Transductive Few-Shot Fine-Tuning With Margin-Based Uncertainty Weighting and Probability Regularization
• BiasAdv: Bias-Adversarial Augmentation for Model Debiasing
• CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion
• Why Is the Winner the Best?
• HGNet: Learning Hierarchical Geometry From Points, Edges, and Surfaces
• Revisiting the P3P Problem
• RiDDLE: Reversible and Diversified De-Identification With Latent Encryptor
• BASiS: Batch Aligned Spectral Embedding Space
• CRAFT: Concept Recursive Activation FacTorization for Explainability
• Infinite Photorealistic Worlds using Procedural Generation
• All-in-Focus Imaging From Event Focal Stack
• Learning 3D Scene Priors With 2D Supervision
• NeuWigs: A Neural Dynamic Model for Volumetric Hair Capture and Animation
• CLIPPO: Image-and-Language Understanding from Pixels Only
  :star:code
• Towards Bridging the Performance Gaps of Joint Energy-Based Models
• expOSE: Accurate Initialization-Free Projective Factorization Using Exponential Regularization
• Learning Debiased Representations via Conditional Attribute Interpolation
• Learning Neural Volumetric Representations of Dynamic Humans in Minutes
• Bayesian Posterior Approximation With Stochastic Ensembles
• RILS: Masked Visual Reconstruction in Language Semantic Space
• RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction
• Zero-Shot Model Diagnosis
• Improving Visual Grounding by Encouraging Consistent Gradient-Based Explanations
  :star:code
• AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning With Masked Autoencoders
• Understanding and Improving Visual Prompting: A Label-Mapping Perspective
• DegAE: A New Pretraining Paradigm for Low-Level Vision
• LiDAR-in-the-Loop Hyperparameter Optimization
• Understanding Deep Generative Models With Generalized Empirical Likelihoods
• Visual Query Tuning: Towards Effective Usage of Intermediate Representations for Parameter and Memory Efficient Transfer Learning
• Compressing Volumetric Radiance Fields to 1 MB
  :star:code
• Label Information Bottleneck for Label Enhancement
  :star:code
• DNF: Decouple and Feedback Network for Seeing in the Dark
• Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-World
• How To Prevent the Continuous Damage of Noises To Model Training?
• ActMAD: Activation Matching To Align Distributions for Test-Time-Training
  :house:project
• Leveraging Temporal Context in Low Representational Power Regimes
  :house:project
• Guided Recommendation for Model Fine-Tuning
• OT-Filter: An Optimal Transport Filter for Learning With Noisy Labels
• E2PN: Efficient SE(3)-Equivariant Point Network
  :star:code
• Understanding Masked Image Modeling via Learning Occlusion Invariant Feature
• Fine-Tuned CLIP Models Are Efficient Video Learners
  :star:code
• Visual Recognition by Request
• Stitchable Neural Networks
  :house:project
• RUST: Latent Neural Scene Representations From Unposed Imagery
  :star:code
• Spatio-Focal Bidirectional Disparity Estimation From a Dual-Pixel Image
• Four-View Geometry With Unknown Radial Distortion
• Learning Optical Expansion From Scale Matching
  :star:code
• Don't Lie to Me! Robust and Efficient Explainability With Verified Perturbation Analysis
  :star:code
• Learning Transformation-Predictive Representations for Detection and Description of Local Features
• Two-Way Multi-Label Loss
  :star:code
• Where is my Wallet? Modeling Object Proposal Sets for Egocentric Visual Query Localization
  :star:code
• Dionysus: Recovering Scene Structures by Dividing Into Semantic Pieces
• Noisy Correspondence Learning With Meta Similarity Correction
• HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics
• Modeling Entities As Semantic Points for Visual Information Extraction in the Wild
  :house:project
• NeAT: Learning Neural Implicit Surfaces With Arbitrary Topologies From Multi-View Images
• Learning a Deep Color Difference Metric for Photographic Images
• DINN360: Deformable Invertible Neural Network for Latitude-Aware 360deg Image Rescaling
  :star:code
• Finetune Like You Pretrain: Improved Finetuning of Zero-Shot Vision Models
  :star:code
• Learning a Practical SDR-to-HDRTV Up-Conversion Using New Dataset and Degradation Models
  :star:code
• DynaFed: Tackling Client Data Heterogeneity With Global Dynamics
• CUF: Continuous Upsampling Filters
• Learning Decorrelated Representations Efficiently Using Fast Fourier Transform
• Practical Network Acceleration With Tiny Sets
• AstroNet: When Astrocyte Meets Artificial Neural Network
• NeuralLift-360: Lifting an In-the-Wild 2D Photo to a 3D Object With 360deg Views
  :star:code
• Command-Driven Articulated Object Understanding and Manipulation
  :star:code
• HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes With Iterative Intertwined Regularization
  :star:code
• Joint Appearance and Motion Learning for Efficient Rolling Shutter Correction
  :star:code
• Gradient-Based Uncertainty Attribution for Explainable Bayesian Deep Learning
• Class Adaptive Network Calibration
  :star:code
• OCTET: Object-Aware Counterfactual Explanations
  :star:code
• DNeRV: Modeling Inherent Dynamics via Difference Neural Representation for Videos
• FFF: Fragment-Guided Flexible Fitting for Building Complete Protein Structures
• Open-Set Representation Learning Through Combinatorial Embedding
• A Unified HDR Imaging Method With Pixel and Patch Level
• Accelerated Coordinate Encoding: Learning to Relocalize in Minutes Using RGB and Poses
  :star:code
• Switchable Representation Learning Framework With Self-Compatibility
• Exploring and Utilizing Pattern Imbalance
• Top-Down Visual Attention From Analysis by Synthesis
  :house:project
• Interactive Cartoonization With Controllable Perceptual Factors
• Regularize Implicit Neural Representation by Itself
• Delving Into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling
• Re-Basin via Implicit Sinkhorn Differentiation
  :star:code
• Towards Effective Visual Representations for Partial-Label Learning
• Samples With Low Loss Curvature Improve Data Efficiency
  :star:code
• Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares
• Tunable Convolutions With Parametric Multi-Loss Optimization
• RelightableHands: Efficient Neural Relighting of Articulated Hand Models
  :house:project
• DyNCA: Real-Time Dynamic Texture Synthesis Using Neural Cellular Automata
  :house:project
• Token Turing Machines
  :star:code
• Probabilistic Debiasing of Scene Graphs
  :star:code
• Few-Shot Non-Line-of-Sight Imaging With Signal-Surface Collaborative Regularization
• The Dark Side of Dynamic Routing Neural Networks: Towards Efficiency Backdoor Injection
• Generalized Decoding for Pixel, Image, and Language
  :house:project
• EC2: Emergent Communication for Embodied Control
• Generalizable Local Feature Pre-Training for Deformable Shape Analysis
  :star:code
• On-the-Fly Category Discovery
  :star:code
• PyramidFlow: High-Resolution Defect Contrastive Localization Using Pyramid Normalizing Flow
• Efficient Verification of Neural Networks Against LVM-Based Specifications
• TensoIR: Tensorial Inverse Rendering
  :house:project
• Learning From Unique Perspectives: User-Aware Saliency Modeling
• LargeKernel3D: Scaling Up Kernels in 3D Sparse CNNs
  :star:code
• Learning Transferable Spatiotemporal Representations From Natural Script Knowledge
  :star:code
• FFCV: Accelerating Training by Removing Data Bottlenecks
  :house:project
• Semidefinite Relaxations for Robust Multiview Triangulation
• GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency
  :star:code
• Polynomial Implicit Neural Representations for Large Diverse Datasets
  :star:code
• Back to the Source: Diffusion-Driven Adaptation To Test-Time Corruption
• Learning To Zoom and Unzoom
  :house:project
• Masked Image Modeling With Local Multi-Scale Reconstruction
• Neural Vector Fields: Implicit Representation by Explicit Learning
  :star:code
• Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks
  :star:code
• Critical Learning Periods for Multisensory Integration in Deep Networks
• Imitation Learning as State Matching via Differentiable Physics
  :star:code
• Probing Sentiment-Oriented Pre-Training Inspired by Human Sentiment Perception Mechanism
  :star:code
• Relightable Neural Human Assets From Multi-View Gradient Illuminations
  :star:code
• DINER: Disorder-Invariant Implicit Neural Representation
• Robust Mean Teacher for Continual and Gradual Test-Time Adaptation
  :star:code
• A Probabilistic Framework for Lifelong Test-Time Adaptation
  :star:code
• Probing Neural Representations of Scene Perception in a Hippocampally Dependent Task Using Artificial Neural Networks
• Decoupling Human and Camera Motion From Videos in the Wild
  :house:project
• DISC: Learning From Noisy Labels via Dynamic Instance-Specific Selection and Correction
  :star:code
• DC2: Dual-Camera Defocus Control by Learning To Refocus
• FJMP: Factorized Joint Multi-Agent Motion Prediction over Learned Directed Acyclic Interaction Graphs
• "Seeing" Electric Network Frequency From Events
  :house:project
• Confidential and Private Decentralized Learning Based on Encryption-Friendly Distillation Loss
  :star:code
• Revealing the Dark Secrets of Masked Image Modeling
• RIFormer: Keep Your Vision Backbone Effective but Removing Token Mixer
• Adaptive Graph Convolutional Subspace Clustering
• Graph Representation for Order-Aware Visual Transformation
• Train-Once-for-All Personalization
• Learning Sample Relationship for Exposure Correction
• EXIF as Language: Learning Cross-Modal Associations Between Images and Camera Metadata
  :house:project
• Gradient norm aware minimization seeks first-order flatness and improves generalization
  :star:code
  :thumbsup:CVPR2023｜清华大学提出GAM：神经网络“一阶平滑优化器”，显著提升模型“泛化能力”
• EXIF As Language: Learning Cross-Modal Associations Between Images and Camera Metadata
  :house:project
• InstantAvatar: Learning Avatars From Monocular Video in 60 Seconds
• GAPartNet: Cross-Category Domain-Generalizable Object Perception and Manipulation via Generalizable and Actionable Parts
• Deep Deterministic Uncertainty: A New Simple Baseline
• WIRE: Wavelet Implicit Neural Representations
• Learning From Noisy Labels With Decoupled Meta Label Purifier
• Architectural Backdoors in Neural Networks
• Event-Based Shape From Polarization
• Deep Hashing With Minimal-Distance-Separated Hash Centers
• Progressive Spatio-Temporal Alignment for Efficient Event-Based Motion Estimation
  :star:code
• Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation
  :house:project
• MetaCLUE: Towards Comprehensive Visual Metaphors Research
  :house:project
• EVA: Exploring the Limits of Masked Visual Representation Learning at Scale
  :star:code
• Sliced Optimal Partial Transport
• Deep Learning of Partial Graph Matching via Differentiable Top-K
  :star:code
• Unsupervised Volumetric Animation
  :house:project
• Passive Micron-Scale Time-of-Flight With Sunlight Interferometry
• Generalizable Implicit Neural Representations via Instance Pattern Composers
  :star:code
• On the Pitfall of Mixup for Uncertainty Calibration
• UMat: Uncertainty-Aware Single Image High Resolution Material Capture
• On Data Scaling in Masked Image Modeling
• End-to-End Vectorized HD-Map Construction With Piecewise Bezier Curve
  :star:code
• Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary
• MobileOne: An Improved One millisecond Mobile Backbone
  :star:code
• Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization
• Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning
  :star:code
• Residual Degradation Learning Unfolding Framework With Mixing Priors Across Spectral and Spatial for Compressive Spectral Imaging
• Robust and Scalable Gaussian Process Regression and Its Applications
  :star:code
• NeuralUDF: Learning Unsigned Distance Fields for Multi-View Reconstruction of Surfaces With Arbitrary Topologies
  :house:project
• Shortcomings of Top-Down Randomization-Based Sanity Checks for Evaluations of Deep Neural Network Explanations
• Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations
  :star:code
• Multiplicative Fourier Level of Detail
• VGFlow: Visibility guided Flow Network for Human Reposing
• Neural Dependencies Emerging From Learning Massive Categories
• MaLP: Manipulation Localization Using a Proactive Scheme
  :house:project
• Efficient Robust Principal Component Analysis via Block Krylov Iteration and CUR Decomposition
• ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders
  :star:code
• Learning 3D Representations From 2D Pre-Trained Models via Image-to-Point Masked Autoencoders
  :star:code
• MEGANE: Morphable Eyeglass and Avatar Network
  :house:project
• Solving relaxations of MAP-MRF problems: Combinatorial in-face Frank-Wolfe directions
• EXCALIBUR: Encouraging and Evaluating Embodied Exploration
• Learning To Predict Scene-Level Implicit 3D From Posed RGBD Data
• SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries
  :house:project
• Learning Neural Parametric Head Models
  :house:project
• Integral Neural Networks
• Simulated Annealing in Early Layers Leads to Better Generalization
• Fresnel Microfacet BRDF: Unification of Polari-Radiometric Surface-Body Reflection
• Improving Visual Representation Learning Through Perceptual Understanding
• Probability-Based Global Cross-Modal Upsampling for Pansharpening
  :star:code
• SCConv: Spatial and Channel Reconstruction Convolution for Feature Redundancy
• Megahertz Light Steering Without Moving Parts
• TempSAL - Uncovering Temporal Information for Deep Saliency Prediction
  :house:project
• Affection: Learning Affective Explanations for Real-World Visual Data
  :house:project
• Metadata-Based RAW Reconstruction via Implicit Neural Functions
• Coaching a Teachable Student
• Progressive Transformation Learning for Leveraging Virtual Images in Training
• NIRVANA: Neural Implicit Representations of Videos with Adaptive Networks and Autoregressive Patch-wise Modeling
• Spatial-Temporal Concept Based Explanation of 3D ConvNets
• Overlooked Factors in Concept-Based Explanations: Dataset Choice, Concept Learnability, and Human Capability
  :star:code
• Neural Fourier Filter Bank
  :star:code
• ECON: Explicit Clothed Humans Optimized via Normal Integration
  :star:code
• Autonomous Manipulation Learning for Similar Deformable Objects via Only One Demonstration
• Plateau-Reduced Differentiable Path Tracing
  :house:project
• Test Time Adaptation With Transformation Invariance
  :star:code
• Learning To Exploit the Sequence-Specific Prior Knowledge for Image Processing Pipelines Optimization
• Deep Fair Clustering via Maximizing and Minimizing Mutual Information: Theory, Algorithm and Metric
  :house:project
• CUDA: Convolution-based Unlearnable Datasets
• Efficient On-Device Training via Gradient Filtering
• Transfer Knowledge From Head to Tail: Uncertainty Calibration Under Long-Tailed Distribution
• Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning
• Disentangled Representation Learning for Unsupervised Neural Quantization
• DA Wand: Distortion-Aware Selection Using Neural Mesh Parameterization
  :star:code
  :house:project
• On Distillation of Guided Diffusion Models
• Putting People in Their Place: Affordance-Aware Human Insertion Into Scenes
  :star:code
• K-Planes: Explicit Radiance Fields in Space, Time, and Appearance
  :house:project
• Understanding Masked Autoencoders via Hierarchical Latent Variable Models
• Co-Training 2L Submodels for Visual Recognition
• Masked Images Are Counterfactual Samples for Robust Fine-Tuning
  :star:code
• Learning Customized Visual Models With Retrieval-Augmented Knowledge
• A Unified Spatial-Angular Structured Light for Single-View Acquisition of Shape and Reflectance
• PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery
  :star:code
• Reproducible Scaling Laws for Contrastive Language-Image Learning
  :star:code
• Intrinsic Physical Concepts Discovery With Object-Centric Predictive Models
• Invertible Neural Skinning
  :house:project
• Multi-Object Manipulation via Object-Centric Neural Scattering Functions
• Fair Scratch Tickets: Finding Fair Sparse Networks Without Weight Training
• Backdoor Cleansing With Unlabeled Data
  :star:code
• Full or Weak Annotations? An Adaptive Strategy for Budget-Constrained Annotation Campaigns
• Extracting Class Activation Maps From Non-Discriminative Features As Well
• Executing Your Commands via Motion Diffusion in Latent Space
• Chat2Map: Efficient Scene Mapping From Multi-Ego Conversations
  :house:project
• Learning To Generate Image Embeddings With User-Level Differential Privacy
• Revisiting the Stack-Based Inverse Tone Mapping
• PACO: Parts and Attributes of Common Objects
  :star:code
• Teacher-Generated Spatial-Attention Labels Boost Robustness and Accuracy of Contrastive Models
• A General Regret Bound of Preconditioned Gradient Method for DNN Training
  :star:code
• A Practical Upper Bound for the Worst-Case Attribution Deviations
• Perception and Semantic Aware Regularization for Sequential Confidence Calibration
  :star:code
• Deep Random Projector: Accelerated Deep Image Prior
  :star:[code](https://github.com/sun- umn/DeepRandom-Projector)
• Bias Mimicking: A Simple Sampling Approach for Bias Mitigation
  :star:code
• DeCo: Decomposition and Reconstruction for Compositional Temporal Grounding via Coarse-To-Fine Contrastive Ranking
• Structured Kernel Estimation for Photon-Limited Deconvolution
  :star:code
• FlexiViT: One Model for All Patch Sizes
  :star:code
• BiasBed - Rigorous Texture Bias Evaluation
  :star:code
• GeoLayoutLM: Geometric Pre-Training for Visual Information Extraction
  :star:code
• Finding Geometric Models by Clustering in the Consensus Space
  :star:code
• Hierarchical Neural Memory Network for Low Latency Event Processing
  :house:project
• Connecting the Dots: Floorplan Reconstruction Using Two-Level Queries
  :star:code
• PointConvFormer: Revenge of the Point-Based Convolution
• A Practical Stereo Depth System for Smart Glasses
• Differentiable Shadow Mapping for Efficient Inverse Graphics
• Multi Domain Learning for Motion Magnification
  :star:code
• Re-Thinking Model Inversion Attacks Against Deep Neural Networks
  :star:code
• DexArt: Benchmarking Generalizable Dexterous Manipulation With Articulated Objects
  :house:project
• Two-View Geometry Scoring Without Correspondences
  :house:project
• ScanDMM: A Deep Markov Model of Scanpath Prediction for 360deg Images
  :star:code
• Zero-Shot Text-to-Parameter Translation for Game Character Auto-Creation
• Analyzing Physical Impacts Using Transient Surface Wave Imaging
• Adaptive Global Decay Process for Event Cameras
  :star:code
• Leveraging Inter-Rater Agreement for Classification in the Presence of Noisy Labels
• Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment
  :star:code
• Swept-Angle Synthetic Wavelength Interferometry
• Shape, Pose, and Appearance From a Single Image via Bootstrapped Radiance Field Inversion
  :house:project
• Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples
  :star:code
• 3D-Aware Object Goal Navigation via Simultaneous Exploration and Identification
• EcoTTA: Memory-Efficient Continual Test-Time Adaptation via Self-Distilled Regularization
• Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation
• Minimizing the Accumulated Trajectory Error To Improve Dataset Distillation
  :star:code
• DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-Aware Scene Synthesis
  :house:project
• Virtual Occlusions Through Implicit Depth
• StyleSync: High-Fidelity Generalized and Personalized Lip Sync in Style-based Generator
  :star:code
• Putting People in Their Place: Affordance-Aware Human Insertion into Scenes
  :star:code
• Inverting the Imaging Process by Learning an Implicit Camera Model
  :star:code
• Visual DNA: Representing and Comparing Images using Distributions of Neuron Activations
  :star:code
• GeoLayoutLM: Geometric Pre-training for Visual Information Extraction
  :star:code
• Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning
• Noisy Correspondence Learning with Meta Similarity Correction
• Efficient Multimodal Fusion via Interactive Prompting
• Representing Volumetric Videos as Dynamic MLP Maps
  :star:code
• Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation
• Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation with Cross-Scale Distortion Awareness
• DART: Diversify-Aggregate-Repeat Training Improves Generalization of Neural Networks
• EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization
• Intrinsic Physical Concepts Discovery with Object-Centric Predictive Models
• A Meta-Learning Approach to Predicting Performance and Data Requirements
• Multimodal Prompting with Missing Modalities for Visual Recognition
  :star:code
• Masked Images Are Counterfactual Samples for Robust Fine-tuning
• UniHCP: A Unified Model for Human-Centric Perceptions
  :star:code
• DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network
  :star:code
• Progressive Open Space Expansion for Open-Set Model Attribution
  :star:code
• TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets
  :star:code
• HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining
  :star:code
• 3D Cinemagraphy from a Single Image
  :house:project
• Masked Image Modeling with Local Multi-Scale Reconstruction
  :star:code
• Revisiting Rotation Averaging: Uncertainties and Robust Losses
  :star:code
• Unifying Layout Generation with a Decoupled Diffusion Model
• Adversarial Counterfactual Visual Explanations
  :star:code
• Trainable Projected Gradient Method for Robust Fine-tuning
  :star:code
• Partial Network Cloning
  :star:code
• Extracting Class Activation Maps from Non-Discriminative Features as well
  :star:code
• TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization
  :star:code
• Visibility Constrained Wide-band Illumination Spectrum Design for Seeing-in-the-Dark
  :star:code
• PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment
  :star:code
• Boundary Unlearning
  :house:project
• ProphNet: Efficient Agent-Centric Motion Forecasting with Anchor-Informed Proposals
• VecFontSDF: Learning to Reconstruct and Synthesize High-quality Vector Fonts via Signed Distance Functions
• Learning a Depth Covariance Function
  :star:code
• A Bag-of-Prototypes Representation for Dataset-Level Applications
• CrOC: Cross-View Online Clustering for Dense Visual Representation Learning
  :star:code
• Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels
  :star:code
• Marching-Primitives: Shape Abstraction from Signed Distance Function
  :star:code
• Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization
• Robust Test-Time Adaptation in Dynamic Scenarios
  :star:code
• Enhancing Multiple Reliability Measures via Nuisance-extended Information Bottleneck
  :star:code
• IDGI: A Framework to Eliminate Explanation Noise from Integrated Gradients
• Compacting Binary Neural Networks by Sparse Kernel Selection
• PDPP:Projected Diffusion for Procedure Planning in Instructional Videos
  :star:code
• Multi-Granularity Archaeological Dating of Chinese Bronze Dings Based on a Knowledge-Guided Relation Graph
  :star:code
• Quantum Multi-Model Fitting
  :star:code
• Continuous Intermediate Token Learning with Implicit Motion Manifold for Keyframe Based Motion Interpolation
• PMatch: Paired Masked Image Modeling for Dense Geometric Matching
  :star:code
• ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing
  :star:code
• Single Image Depth Prediction Made Better: A Multivariate Gaussian Take
• Why is the winner the best?
• Disorder-invariant Implicit Neural Representation
  :star:code
• HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion
  :star:code
• Enhancing Deformable Local Features by Jointly Learning to Detect and Describe Keypoints
  :house:project
• SMPConv: Self-moving Point Representations for Continuous Convolution
  :star:code
• VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution
  :star:code
• Delving into Discrete Normalizing Flows on SO(3) Manifold for Probabilistic Rotation Modeling
• Wide-Angle Rectification via Content-Aware Conformal Mapping
  :house:project
• Large-capacity and Flexible Video Steganography via Invertible Neural Network
  :star:code
• SketchXAI: A First Look at Explainability for Human Sketches
  :star:code
• Hard Patches Mining for Masked Image Modeling
  :thumbsup:CVPR 2023 | HPM：在掩码学习中挖掘困难样本，带来稳固性能提升！
• Learning Geometry-aware Representations by Sketching
• DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training
  :star:code
• Investigating the Nature of 3D Generalization in Deep Neural Networks
  :star:code
• EC^2: Emergent Communication for Embodied Control
• Generalizing Dataset Distillation via Deep Generative Prior
  :star:code
  :house:project
• Learning Locally Editable Virtual Humans
  :house:project
• Class-Balancing Diffusion Models
• SFD2: Semantic-guided Feature Detection and Description
  :star:code
• Computational Flash Photography Through Intrinsics
• Deep Graph Reprogramming
• LayoutDM: Transformer-based Diffusion Model for Layout Generation
• MetaViewer: Towards a Unified Multi-View Representation
• Learning Compact Representations for LiDAR Completion and Generation
  :house:project
• 多模态
  • Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning
  • PMR: Prototypical Modal Rebalance for Multimodal Learning
  • Multi-Modal Learning With Missing Modality via Shared-Specific Feature Modelling
  • Towards Flexible Multi-Modal Document Models
  • Multi-Modal Representation Learning With Text-Driven Soft Masks
  • Align and Attend: Multimodal Summarization With Dual Contrastive Losses
    :house:project
  • Improving Zero-Shot Generalization and Robustness of Multi-Modal Models
    :star:code
  • BEV-Guided Multi-Modality Fusion for Driving Perception
    :star:code
  • BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency
  • Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information
    :star:code
  • Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-commerce多模态预训练
  • MMANet: Margin-Aware Distillation and Modality-Aware Regularization for Incomplete Multimodal Learning
    :star:code
• Affordance Learning(启示学习)
  • Leverage Interactive Affinity for Affordance Learning
    :star:code
• Feature Matching(特征匹配)
  • PATS: Patch Area Transportation with Subdivision for Local Feature Matching
    :house:project
  • Adaptive Spot-Guided Transformer for Consistent Local Feature Matching
    :star:code
    :star:code
  • Adaptive Assignment for Geometry Aware Local Feature Matching
    :star:code特征匹配
  • DKM: Dense Kernelized Feature Matching for Geometry Estimation
    :star:code
• 紫外线预测
  • Normal-Guided Garment UV Prediction for Human Re-Texturing
• vector quantization(矢量量化)
  • Vector Quantization With Self-Attention for Quality-Independent Representation Learning
    :house:project

2020 年论文分类汇总戳这里

↘️CVPR-2020-Papers ↘️ECCV-2020-Papers

2021 年论文分类汇总戳这里

↘️ICCV-2021-Papers ↘️CVPR-2021-Papers

2022 年论文分类汇总戳这里

↘️CVPR-2022-Papers ↘️WACV-2022-Papers ↘️ECCV-2022-Papers

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