SNARF: Differentiable Forward Skinning for Animating Non-rigid Neural Implicit Shapes
2021-10-13
Official code release for ICCV 2021 paper SNARF: Differentiable Forward Skinning for Animating Non-rigid Neural Implicit Shapes. We propose a novel forward skinning module to animate neural implicit shapes with good generalization to unseen poses. Given scans of a person, SNARF creates an animatable implicit avatar. Training and animation code is included.
Official code release for ICCV 2021 paper SNARF: Differentiable Forward Skinning for Animating Non-rigid Neural Implicit Shapes. We propose a novel forward skinning module to animate neural implicit shapes with good generalization to unseen poses. Given scans of a person, SNARF creates an animatable implicit avatar. Training and animation code is included.
| Author(s): | Chen, Xu and Zheng, Yufeng and Black, Michael J and Hilliges, Otmar and Geiger, Andreas |
| Department(s): |
Perceiving Systems |
| Publication(s): |
{SNARF}: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes
|
| Authors: | Chen, Xu and Zheng, Yufeng and Black, Michael J and Hilliges, Otmar and Geiger, Andreas |
| Release Date: | 2021-10-13 |
| Repository: | https://github.com/xuchen-ethz/snarf |
