Awesome
<p align="center"> <font color=#008000>TANGO</font>: <font color=#008000>T</font>ext-driven Photore<font color=#008000>a</font>listic a<font color=#008000>n</font>d Robust 3D Stylization via Li<font color=#008000>g</font>hting Dec<font color=#008000>o</font>mposition </p>
<p align="center"> Yongwei Chen, Rui Chen, Jiabao Lei, Yabin Zhang, Kui Jia</p>
<p align="center"> NeurIPS 2022 <font color=#dd0000>Spotlight</font></p>
<p align="center">Paper | Project Page </p>
<p align="center"> <img width="100%" src="https://github.com/Gorilla-Lab-SCUT/tango/blob/main/tango_assets/stylization.gif"/> </p>News
:trophy: [Nov 11th 2022] TANGO was selected in NeurIPS spotlight papers.
Installation
Note: You can directly pull the image we uploaded to AliCloud
docker pull registry.cn-shenzhen.aliyuncs.com/baopin/t2m:1.7
System Requirements
- Python >=3.7 and <=3.9
- CUDA 11
- Nvidia GPU with 12 GB ram at least
- Open3d >=0.14.1
- the package of clip (https://github.com/openai/CLIP)
Train
Call the below shell scripts to generate example styles.
# shoe made of gold
./demo/run_shoe_gold.sh
# vase made of wicker
./demo/run_vase_wicker.sh
# car made of wood
./demo/run_car_wood_origin.sh
# ...
The outputs will be saved to results/demo
Validate
Call the below shell scripts to generate gif.
# shoe made of gold
./demo/test_shoe_gold.sh
# vase made of wicker
./demo/test_vase_wicker.sh
# car made of wood
./demo/test_car_wood_origin.sh
# ...
<!-- <p align="center">
<img width="100%" src="./tango_assets/method.jpg"/>
</p> -->
Citation
@article{chen2022tango,
title={Tango: Text-driven photorealistic and robust 3d stylization via lighting decomposition},
author={Chen, Yongwei and Chen, Rui and Lei, Jiabao and Zhang, Yabin and Jia, Kui},
journal={Advances in Neural Information Processing Systems},
volume={35},
pages={30923--30936},
year={2022}
}