Projects
View on GitHub
mks0601/ExAvatar_RELEASE
mks0601/ExAvatar_RELEASE has 677 GitHub stars and 71 forks. GitHot measured 0 stars in 24 hours. Last checked 2026-11-15 13:17 UTC. Last push 2026-10-14.
Measured star growth
- in 24h
- 0
- in 7 days
- Collecting history
- in 15 days
- Collecting history
- in 1 month
- Collecting history
Net star changes over overlapping periods, not daily totals. Missing measurements are left blank. Stars measure attention, not software quality.
About
Official PyTorch implementation of "Expressive Whole-Body 3D Gaussian Avatar", ECCV 2024.
Machine LearningREADME.md
OriginalExpressive Whole-Body 3D Gaussian Avatar (ECCV 2024)
Project Page | Paper | Video
- This is an reimplmentation of Expressive Whole-Body 3D Gaussian Avatar (ECCV 2024) by the first author after leaving Meta. All the code use public assets without any Meta's internal-only modules. All the results in the camera-ready version and demo videos in the website are from this reimplmented code.
- ExAvatar is designed as a combination of 1) whole-body (body, hands, and face) drivability of SMPL-X and 2) strong appearance modeling capability of 3DGS.
Yes, it's me, Gyeongsik in the video :), taken in front of my apartment with my mobile phone. For more high-resolution demo videos, please visit our website.
Install
conda env create -f environment.yml
conda activate exavatar
Creating and animating avatars from a phone scan
- To create an avatar, you first need to fit SMPL-X to a video with a single person. Go to here.
- Then, go to here to create and animate the avatar.
Creating and animating avatars from X-Humans dataset
- Go to here
Reference
@inproceedings{moon2024exavatar,
title={Expressive Whole-Body 3D Gaussian Avatar},
author = {Moon, Gyeongsik and Shiratori, Takaaki and Saito, Shunsuke},
booktitle={ECCV},
year={2024}
}