motion.md

Motion

• (arXiv 2021.03) Single-Shot Motion Completion with Transformer, [Paper], [Code]
• (arXiv 2021.03) DanceNet3D: Music Based Dance Generation with Parametric Motion Transformer, [Paper]
• (arXiv 2021.03) Multimodal Motion Prediction with Stacked Transformers, [Paper], [Code]
• (arXiv 2021.04) Action-Conditioned 3D Human Motion Synthesis with Transformer VAE, [Paper]
• (arXiv 2021.10) AniFormer: Data-driven 3D Animation with Transformer, [Paper], [Code]
• (arXiv 2021.11) Multi-Person 3D Motion Prediction with Multi-Range Transformers, [Paper], [Code]
• (arXiv 2022.03) ActFormer: A GAN Transformer Framework towards General Action-Conditioned 3D Human Motion Generation, [Paper]
• (arXiv 2022.03) Transformer Inertial Poser: Attention-based Real-time Human Motion Reconstruction from Sparse IMUs, [Paper]
• (arXiv 2022.03) Spatial-Temporal Parallel Transformer for Arm-Hand Dynamic Estimation, [Paper]
• (arXiv 2022.04) HiT-DVAE: Human Motion Generation via Hierarchical Transformer Dynamical VAE, [Paper]
• (arXiv 2022.07) TENET: Transformer Encoding Network for Effective Temporal Flow on Motion Prediction, [Paper]
• (arXiv 2022.08) SoMoFormer: Social-Aware Motion Transformer for Multi-Person Motion Prediction, [Paper]
• (arXiv 2022.09) Motion Transformer with Global Intention Localization and Local Movement Refinement, [Paper], [Code]
• (arXiv 2022.09) NEURAL MARIONETTE: A Transformer-based Multi-action Human Motion Synthesis System, [Paper], [Project]
• (arXiv 2022.09) Motion Transformer for Unsupervised Image Animation, [Paper], [Code]
• (arXiv 2022.11) Blur Interpolation Transformer for Real-World Motion from Blur, [Paper]
• (arXiv 2022.12) Transformer-Based Learned Optimization, [Paper]
• (arXiv 2023.01) Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification, [Paper]
• (arXiv 2023.02) Robust Human Motion Forecasting using Transformer-based Model, [Paper]
• (arXiv 2023.02) STB-VMM: Swin Transformer Based Video Motion Magnification, [Paper]
• (arXiv 2023.02) Human MotionFormer: Transferring Human Motions with Vision Transformers, [Paper], [Project]
• (arXiv 2023.02) Multi-Scale Control Signal-Aware Transformer for Motion Synthesis without Phase, [Paper]
• (arXiv 2023.03) SPOTR: Spatio-temporal Pose Transformers for Human Motion Prediction, [Paper]
• (arXiv 2023.04) BiFormer: Learning Bilateral Motion Estimation via Bilateral Transformer for 4K Video Frame Interpolation, [Paper], [Code]
• (arXiv 2023.05) XFormer: Fast and Accurate Monocular 3D Body Capture, [Paper]
• (arXiv 2023.05) Imitating Task and Motion Planning with Visuomotor Transformers, [Paper], [Code]
• (arXiv 2023.06) PGformer: Proxy-Bridged Game Transformer for Multi-Person Extremely Interactive Motion Prediction, [Paper]
• (arXiv 2023.06) ModeT: Learning Deformable Image Registration via Motion Decomposition Transformer, [Paper], [Code]
• (arXiv 2023.07) TransFusion: A Practical and Effective Transformer-based Diffusion Model for 3D Human Motion Prediction, [Paper]
• (arXiv 2023.08) Joint-Relation Transformer for Multi-Person Motion Prediction, [Paper], [Code]
• (arXiv 2023.08) A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis, [Paper], [Code]
• (arXiv 2023.10) Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding, [Paper], [Code]
• (arXiv 2023.11) Egocentric Whole-Body Motion Capture with FisheyeViT and Diffusion-Based Motion Refinement, [Paper]
• (arXiv 2023.12) MGTR: Multi-Granular Transformer for Motion Prediction with LiDAR, [Paper], [Code]
• (arXiv 2023.12) EulerMormer: Robust Eulerian Motion Magnification via Dynamic Filtering within Transformer, [Paper], [Code]
• (arXiv 2023.12) Sign Language Production with Latent Motion Transformer, [Paper]
• (arXiv 2024.01) AdvMT: Adversarial Motion Transformer for Long-term Human Motion Prediction, [Paper]
• (arXiv 2024.04) Neuromorphic Vision-based Motion Segmentation with Graph Transformer Neural Network, [Paper]
• (arXiv 2024.04) Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches, [Paper]
• (arXiv 2024.06) Prototypical Transformer as Unified Motion Learners, [Paper], [Code]
• (arXiv 2024.07) FootBots: A Transformer-based Architecture for Motion Prediction in Soccer, [Paper], [Code]
• (arXiv 2024.07) InfiniMotion: Mamba Boosts Memory in Transformer for Arbitrary Long Motion Generation, [Paper]
• (arXiv 2024.08) Pedestrian Motion Prediction Using Transformer-based Behavior Clustering and Data-Driven Reachability Analysis, [Paper]
• (arXiv 2024.09) Transformer with Controlled Attention for Synchronous Motion Captioning, [Paper], [Code]
• (arXiv 2024.10) DART: A Diffusion-Based Autoregressive Motion Model for Real-Time Text-Driven Motion Control, [Paper], [Code]
• (arXiv 2024.12) Mogo: RQ Hierarchical Causal Transformer for High-Quality 3D Human Motion Generation, [Paper]
• (arXiv 2025.01) DiffGrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model, [Paper], [Code]
• (arXiv 2025.01) Learning Priors of Human Motion With Vision Transformers, [Paper]
• (arXiv 2025.03) Motion Anything: Any to Motion Generation, [Paper]
• (arXiv 2025.06) HyperMotion: DiT-Based Pose-Guided Human Image Animation of Complex Motions, [Paper], [Code]
• (arXiv 2025.06) Transformer IMU Calibrator: Dynamic On-body IMU Calibration for Inertial Motion Capture, [Paper], [Code]