Skip to content

A PyTorch implementation of "AvatarMAV: Fast 3D Head Avatar Reconstruction Using Motion-Aware Neural Voxels"

License

Notifications You must be signed in to change notification settings

YuelangX/AvatarMAV

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

16 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

AvatarMAV: Fast 3D Head Avatar Reconstruction Using Motion-Aware Neural Voxels

Getting Started

  • Create a conda environment conda env create -f environment.yaml
  • Install Pytorch3d pip install --no-index --no-cache-dir pytorch3d -f https://dl.fbaipublicfiles.com/pytorch3d/packaging/wheels/py38_cu113_pyt1120/download.html
  • Download our dataset Google drive and place it in this folder

Training

python train.py

During the training process, the intermediate results are saved in the results folder

Citation

@inproceedings{xu2023avatarmav,
  title={AvatarMAV: Fast 3D Head Avatar Reconstruction Using Motion-Aware Neural Voxels},
  author={Xu, Yuelang and Wang, Lizhen and Zhao, Xiaochen and Zhang, Hongwen and Liu, Yebin},
  booktitle={ACM SIGGRAPH 2023 Conference Proceedings},
  year={2023}
}

About

A PyTorch implementation of "AvatarMAV: Fast 3D Head Avatar Reconstruction Using Motion-Aware Neural Voxels"

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages