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 |
Multi-View Supervision for Single-View Reconstruction via Differentiable Ray Consistency |
Voxel |
CVPR 2017 |
Project |
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 |
/ |
Image2Mesh: A Learning Framework for Single Image 3D Reconstruction |
Mesh |
ACCV 2018 |
Code |
Learning Efficient Point CloudGeneration 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 |
/ |
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 |
/ |
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 |
/ |
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 to Detect 3D Reflection Symmetry for Single-View Reconstruction |
/ |
arXiv 2020 |
Code |
3D Reconstruction of Novel Object Shapes from Single Images |
Implicit |
arXiv 2020 |
Project |
3D Shape Reconstruction from Free-Hand Sketches |
Point Cloud |
arXiv 2020 |
Code |
Implicit Mesh Reconstruction from Unannotated Image Collections |
Mesh |
arXiv 2020 |
Project |
SkeletonNet: A Topology-Preserving Solution for Learning Mesh Reconstruction of Object Surfaces from RGB Images |
Mesh |
arXiv 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 |
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 |
Look, Cast and Mold: Learning 3D Shape Manifold from Single-view Synthetic Data |
Voxel |
arXiv 2021 |
/ |
Neural Implicit 3D Shapes from Single Images with Spatial Patterns |
Implicit |
arXiv 2021 |
Code |
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 |
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 |
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 |
/ |