Official implementation of "En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data"
En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data
Yifang Men,
Biwen Lei,
Yuan Yao,
Miaomiao Cui,
Zhouhui Lian,
Xuansong Xie
En3D is a large 3D human generative model trained on millions of synthetic 2D data, independently of any pre-existing 3D or 2D assets. This repo contains an implementation of En3D and provides a series of applications built upon it. In addition, this repo aims to be a useful creative tool to produce realistic 3D avatars from seeds, text prompts or images, and support automatic character animation FBX production. All outputs are compatible with the modern graphics workflows.
Generative 3D humans
https://github.com/menyifang/En3D/assets/47292223/8b57a74d-6270-4b37-ae1e-ee2c0baad51d
Text guided synthesis
Image guided synthesis
More results can be found in project page.
(2023-01-15) ModelScope and HuggingFace Online demo is available! Try out .
(2023-01-15) A Rigged & Animated 3D Human library (3DHuman-Syn) is released, containing ~1000 avatars produced by En3D for quick experience. Infinite avatars and actions support will be coming soon!
(2023-01-03) The paper and video are released.
Integrated an online demo into ModelScope. Try out and have fun!
Integrated an online demo into Huggingface Spaces 🤗. Try out and have fun!
cd En3d
conda create -n en3d python=3.8
conda activate eg3d
pip install -r requirements.txt
[Recommended] A deployed Online Demo
With own machine, you can also deploy our demo as below, which provides flexible user interface. Both CPU/GPU are supported for avatar animation, only GPU (>24G memory) is supported for avatar generation and render.
python app.py
We released a Rigged & Animated 3D Human library (3DHuman-Syn), containing ~1000 characters produced by En3D, and 1000+ actions are provided for animation.
python render.py
python animation.py
Convert the generated animation file (.glb) to .usdz format using Sketchfab (upload glb and download usdz) or other tools, and insert the animated avatar to web with model-viewer.
<!-- Import the component -->
<script type="module" src="https://ajax.googleapis.com/ajax/libs/model-viewer/3.3.0/model-viewer.min.js"></script>
<!-- Use it like any other HTML element -->
<model-viewer src="assets/human.glb" camera-controls ar shadow-intensity="1" ios-src="assets/human.usdz"></model-viewer>
AR function is only supported with iPhone, try the AR example in the phone browser and click the right-down icon for AR experience.
If you find this code useful for your research, please use the following BibTeX entry.
@inproceedings{men2024en3d,
title={En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data},
author={Men, Yifang and Lei, Biwen and Yao, Yuan and Cui, Miaomiao and Lian, Zhouhui and Xie, Xuansong},
journal={arXiv preprint arXiv:2401.01173},
website={https://menyifang.github.io/projects/En3D/index.html},
year={2024}}