| 3dr2n2: A unified approach for single and multi-view 3d object Reconstruction |
ECCV 2016 |
Theano |
| Learning a predictable and generative vector representation for objects |
ECCV 2016 |
Caffe |
| Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling |
NIPS 2016 |
Torch 7 |
| Perspective transformer nets: Learning single-view 3d object reconstruction without 3d supervision |
NIPS 2016 |
Torch 7 |
| Deep disentangled representations for volumetric reconstruction |
ECCV 2016 |
|
| Multi-view 3D Models from Single Images with a Convolutional Network |
ECCV 2016 |
Tensorflow |
| Single Image 3D Interpreter Network |
ECCV 2016 |
Torch 7 |
| Weakly-Supervised Generative Adversarial Networks for 3D Reconstruction |
3DV 2017 |
Theano |
| Hierarchical Surface Prediction for 3D Object Reconstruction |
3DV 2017 |
Torch 7 |
| Octree generating networks: Efficient convolutional architectures for high-resolution 3d outputs |
ICCV 2017 |
Caffe |
| Multi-view Supervision for Single-view Reconstruction via Differentiable Ray Consistency |
CVPR 2017 |
Torch 7 |
| SurfNet: Generating 3D shape surfaces using deep residual networks |
CVPR 2017 |
Matlab |
| A Point Set Generation Network for 3D Object Reconstruction from a Single Image |
CVPR 2017 |
Tensorflow |
| O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis |
SIGGRAPH 2017 |
Caffe |
| Rethinking Reprojection: Closing the Loop for Pose-aware Shape Reconstruction from a Single Image |
ICCV 2017 |
|
| Scaling CNNs for High Resolution Volumetric Reconstruction From a Single Image |
ICCV 2017 |
|
| Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55 |
ICCV 2017 |
|
| Learning a Hierarchical Latent-Variable Model of 3D Shapes |
3DV 2018 |
Tensorflow |
| Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction |
AAAI 2018 |
Tensorflow |
| DeformNet: Free-Form Deformation Network for 3D Shape Reconstruction from a Single Image |
ACCV 2018 |
Tensorflow |
| Image2Mesh: A Learning Framework for Single Image 3DReconstruction |
ACCV 2018 |
Pytorch |
| Neural 3D Mesh Renderer |
CVPR 2018 |
Chainer |
| Multi-view Consistency as Supervisory Signal for Learning Shape and Pose Prediction |
CVPR 2018 |
Torch 7 |
| Matryoshka Networks: Predicting 3D Geometry via Nested Shape Layers |
CVPR 2018 |
Pytorch |
| AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation |
CVPR 2018 |
Pytorch |
| Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images |
ECCV 2018 |
Tensorflow |
| Multiresolution Tree Networks for 3D Point Cloud Processing |
ECCV 2018 |
Pytorch |
| Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes |
SIGGRAPH Asia 2018 |
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| Learning Implicit Fields for Generative Shape Modeling |
CVPR 2019 |
Tensorflow |
| Occupancy Networks: Learning 3D Reconstruction in Function Space |
CVPR 2019 |
Pytorch |
| DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation |
CVPR 2019 |
Pytorch |
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