A collection of 3D reconstruction papers in the deep learning era. Feel free to contribute :)
Paper | Representation | Publisher | Project/Code |
---|---|---|---|
3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction | Voxel | ECCV 2016 | [Code] |
3D Shape Induction from 2D Views of Multiple Objects | Voxel | 3DV 2017 | [Code] |
Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction | Point Cloud | AAAI 2018 | [Project] |
Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction | Point Cloud | CVPR 2019 | [Code] |
Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation | Mesh | ICCV 2019 | [Project] |
Multiview Aggregation for Learning Category-Specific Shape Reconstruction | Point Cloud | NIPS 2019 | [Code] |
Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance | Mesh | NIPS 2020 | [Project] |
Paper | Representation | Publisher | Project/Code |
---|---|---|---|
MARMVS: Matching Ambiguity Reduced Multiple View Stereo for Efficient Large Scale Scene Reconstruction | Point Cloud | CVPR 2020 | / |
Associative3D: Volumetric Reconstruction from Sparse Views | Voxel | ECCV 2020 | [Project] |
Atlas: End-to-End 3D Scene Reconstruction from Posed Images | Mesh | ECCV 2020 | [Project] |
NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video | Mesh | CVPR 2021 | [Project] |
Paper | Publisher |
---|---|
Image-based 3D Object Reconstruction: State-of-the-Art and Trends in the Deep Learning Era | TPAMI 2019 |