Vid2Avatar

CVPR 2023 논문 Vid2Avatar: Self-supervised Scene Decomposition을 통해 비디오에서 3D 아바타 재구성을 위한 공식 리포지토리입니다 .

We have used codes from other great research work, including VolSDF, NeRF++, SMPL-X, Anim-NeRF, I M Avatar and SNARF. We sincerely thank the authors for their awesome work! We also thank the authors of ICON and SelfRecon for discussing experiment.

https://moygcc.github.io/vid2avatar/

Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decomposition

We present Vid2Avatar, a method to learn human avatars from monocular in-the-wild videos. Reconstructing humans that move naturally from monocular in-the-wild videos is difficult. Solving it requires accurately separating humans from arbitrary backgrounds.

moygcc.github.io

https://github.com/MoyGcc/vid2avatar

GitHub - MoyGcc/vid2avatar: Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decomposition

Vid2Avatar: 3D Avatar Reconstruction from Videos in the Wild via Self-supervised Scene Decomposition (CVPR2023) - GitHub - MoyGcc/vid2avatar: Vid2Avatar: 3D Avatar Reconstruction from Videos in the...

github.com