| kwea123/nerf_pl |
2,291 |
|
0 |
0 |
over 2 years ago |
0 |
|
72 |
mit |
Jupyter Notebook |
| NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning |
| vchoutas/smplify-x |
1,275 |
|
0 |
0 |
about 3 years ago |
0 |
|
58 |
other |
Python |
| Expressive Body Capture: 3D Hands, Face, and Body from a Single Image |
| ranahanocka/MeshCNN |
1,211 |
|
0 |
0 |
about 4 years ago |
0 |
|
76 |
mit |
Python |
| Convolutional Neural Network for 3D meshes in PyTorch |
| daniilidis-group/neural_renderer |
940 |
|
0 |
0 |
about 4 years ago |
0 |
|
59 |
other |
Python |
| A PyTorch port of the Neural 3D Mesh Renderer |
| mks0601/I2L-MeshNet_RELEASE |
647 |
|
0 |
0 |
almost 3 years ago |
0 |
|
39 |
mit |
Python |
| Official PyTorch implementation of "I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image", ECCV 2020 |
| ThibaultGROUEIX/AtlasNet |
561 |
|
0 |
0 |
over 3 years ago |
0 |
|
11 |
mit |
Python |
| This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image. |
| hassony2/manopth |
413 |
|
0 |
0 |
over 3 years ago |
0 |
|
12 |
gpl-3.0 |
Python |
| MANO layer for PyTorch, generating hand meshes as a differentiable layer |
| ranahanocka/point2mesh |
408 |
|
0 |
0 |
over 5 years ago |
0 |
|
8 |
mit |
Python |
| Reconstruct Watertight Meshes from Point Clouds [SIGGRAPH 2020] |
| akanazawa/cmr |
366 |
|
0 |
0 |
over 5 years ago |
0 |
|
4 |
mit |
Python |
| Project repo for Learning Category-Specific Mesh Reconstruction from Image Collections |
| iMoonLab/MeshNet |
316 |
|
0 |
0 |
about 4 years ago |
0 |
|
1 |
mit |
Python |
| MeshNet: Mesh Neural Network for 3D Shape Representation (AAAI 2019) |
