| A Point Set Generation Network for 3D Object Reconstruction from a Single Image | Point Cloud | CVPR 2017 | Code |
| SurfNet: Generating 3D Shape Surfaces Using Deep Residual Networks | Mesh | CVPR 2017 | Code |
| OctNet: Learning Deep 3D Representations at High Resolutions | Voxel | CVPR 2017 | Code |
| Rethinking Reprojection: Closing the Loop for Pose-Aware Shape Reconstruction From a Single Image | Voxel | ICCV 2017 | / |
| MarrNet: 3D Shape Reconstruction via 2.5D Sketches | Voxel | NIPS 2017 | Project |
| Hierarchical Surface Prediction for 3D Object Reconstruction | Voxel | 3DV 2017 | Code |
| Image2Mesh: A Learning Framework for Single Image 3D Reconstruction | Mesh | ACCV 2018 | Code |
| Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction | Point Cloud | AAAI 2018 | Project |
| A Papier-Mâché Approach to Learning 3D Surface Generation | Mesh | CVPR 2018 | Project |
| Pixels, voxels, and views: A study of shape representations for single view 3D object shape prediction | Generic | CVPR 2018 | Project |
| Im2Struct: Recovering 3D Shape Structure From a Single RGB Image | Parts | CVPR 2018 | Code |
| Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers | Voxel | CVPR 2018 | Code |
| Multi-View Consistency as Supervisory Signal for Learning Shape and Pose Prediction | Voxel | CVPR 2018 | Project |
| Efficient Dense Point Cloud Object Reconstruction using Deformation Vector Fields | Point Cloud | ECCV 2018 | / |
| GAL: Geometric Adversarial Loss for Single-View 3D-Object Reconstruction | Point Cloud | ECCV 2018 | / |
| Learning Category-Specific Mesh Reconstruction from Image Collections | Mesh | ECCV 2018 | Project |
| Learning Shape Priors for Single-View 3D Completion and Reconstruction | Voxel | ECCV 2018 | / |
| Learning Single-View 3D Reconstruction with Limited Pose Supervision | Voxel | ECCV 2018 | Code |
| Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images | Mesh | ECCV 2018 | Code |
| Residual MeshNet: Learning to Deform Meshes for Single-View 3D Reconstruction | Mesh | 3DV 2018 | / |
| Learning to Reconstruct Shapes from Unseen Classes | Generic | NIPS 2018 | Project |
| Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation | Voxel | NIPS 2018 | Code |
| MVPNet: Multi-View Point Regression Networks for 3D Object Reconstruction from A Single Image | Point Cloud | AAAI 2019 | Project |
| Deep Single-View 3D Object Reconstruction with Visual Hull Embedding | Voxel | AAAI 2019 | Code |
| Occupancy Networks: Learning 3D Reconstruction in Function Space | Implicit | CVPR 2019 | Code |
| Learning Implicit Fields for Generative Shape Modeling | Implicit | CVPR 2019 | Project |
| A Skeleton-Bridged Deep Learning Approach for Generating Meshes of Complex Topologies From Single RGB Images | Mesh | CVPR 2019 | Code |
| What Do Single-view 3D Reconstruction Networks Learn? | Generic | CVPR 2019 | Code |
| Deep Level Sets: Implicit Surface Representations for 3D Shape Inference | Implicit | arXiv 2019 | / |
| Deep Mesh Reconstruction From Single RGB Images via Topology Modification Networks | Mesh | ICCV 2019 | Code |
| Deep Meta Functionals for Shape Representation | Implicit | ICCV 2019 | Code |
| GraphX-Convolution for Point Cloud Deformation in 2D-to-3D Conversion | Point Cloud | ICCV 2019 | Code |
| Pix2Vox: Context-Aware 3D Reconstruction From Single and Multi-View Images | Voxel | ICCV 2019 | Code |
| Domain-Adaptive Single-View 3D Reconstruction | Voxel | ICCV 2019 | Code |
| Few-Shot Generalization for Single-Image 3D Reconstruction via Priors | Voxel | ICCV 2019 | Code |
| DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction | Implicit | NIPS 2019 | Code |
| Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction | Mesh | CVPR 2020 | Code |
| BSP-Net: Generating Compact Meshes via Binary Space Partitioning | Mesh | CVPR 2020 | Project |
| Height and Uprightness Invariance for 3D Prediction From a Single View | Point Cloud | CVPR 2020 | Code |
| Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion | Implicit | CVPR 2020 | Project |
| Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild | Mesh | CVPR 2020 | Project |
| CvxNet: Learnable Convex Decomposition | Primitive | CVPR 2020 | Project |
| Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction | Implicit | ECCV 2020 | Code |
| Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors | Voxel | ECCV 2020 | Code |
| GSIR: Generalizable 3D Shape Interpretation and Reconstruction | Voxel | ECCV 2020 | / |
| DR-KFS: A Differentiable Visual Similarity Metric for 3D Shape Reconstruction | Mesh | ECCV 2020 | / |
| Self-supervised Single-view 3D Reconstruction via Semantic Consistency | Mesh | ECCV 2020 | Project |
| Shape and Viewpoint without Keypoints | Mesh | ECCV 2020 | Project |
| Ladybird: Quasi-Monte Carlo Sampling for Deep Implicit Field Based 3D Reconstruction with Symmetry | Mesh | ECCV 2020 | Code |
| Learning Deformable Tetrahedral Meshes for 3D Reconstruction | Mesh | NIPS 2020 | Project |
| SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images | Implicit | NIPS 2020 | Project |
| UCLID-Net: Single View Reconstruction in Object Space | Mesh | NIPS 2020 | Code |
| Pix2Vox++: Multi-scale Context-aware 3D Object Reconstruction from Single and Multiple Images | Voxel | IJCV 2020 | Code |
| D2IM-Net: Learning Detail Disentangled Implicit Fields From Single Images | Implicit | CVPR 2021 | Code |
| NeRD: Neural 3D Reflection Symmetry Detector | / | CVPR 2021 | Code |
| Fostering Generalization in Single-view 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors | Implicit | CVPR 2021 | Code |
| Single-View 3D Object Reconstruction From Shape Priors in Memory | Voxel | CVPR 2021 | Project |
| Implicit Surface Representations as Layers in Neural Networks | Implicit | ICCV 2021 | / |
| Ray-ONet: Efficient 3D Reconstruction From A Single RGB Image | Implicit | BMVC 2021 | Project |
| Learning Anchored Unsigned Distance Functions with Gradient Direction Alignment for Single-view Garment Reconstruction | Implicit | ICCV 2021 | Code |
| Geometric Granularity Aware Pixel-to-Mesh | Mesh | ICCV 2021 | / |
| Sketch2Mesh: Reconstructing and Editing 3D Shapes from Sketches | Mesh | ICCV 2021 | Code |
| 3DIAS: 3D Shape Reconstruction With Implicit Algebraic Surfaces | Primitive | ICCV 2021 | Project |
| A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks | Point Cloud | 3DV 2021 | Code |
| 3D Reconstruction of Novel Object Shapes from Single Images | Implicit | 3DV 2021 | Project |
| AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation | Implicit | CVPR 2022 | Project |
| 3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow | Point Cloud | CVPR 2022 | Code |
| Pre-train, Self-train, Distill: A simple recipe for Supersizing 3D Reconstruction | Implicit | CVPR 2022 | Project |
| Neural Template: Topology-aware Reconstruction and Disentangled Generation of 3D Meshes | Hybrid | CVPR 2022 | Code |
| SkeletonNet: A Topology-Preserving Solution for Learning Mesh Reconstruction of Object Surfaces from RGB Images | Mesh | TPAMI 2022 | Code |
| Training Data Generating Networks: Shape Reconstruction via Bi-level Optimization | Implicit | ICLR 2022 | / |
| Structural Causal 3D Reconstruction | Hybrid | ECCV 2022 | / |
| Few-shot Single-view 3D Reconstruction with Memory Prior Contrastive Network | Voxel | ECCV 2022 | / |
| Semi-Supervised Single-View 3D Reconstruction via Prototype Shape Priors | Voxel | ECCV 2022 | / |
| Single-view 3D Scene Reconstruction with High-fidelity Shape and Texture | Implicit | 3DV 2024 | Code |