TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition
Yongwei Chen, Rui Chen, Jiabao Lei, Yabin Zhang, Kui Jia
NeurIPS 2022 Spotlight
News
๐ [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
# ...
Citation
@inproceedings{ChenChenNeurIPS22,
title={TANGO: Text-driven Photorealistic and Robust 3D Stylization via Lighting Decomposition},
author={Yongwei Chen and Rui Chen and Jiabao Lei and Yabin Zhang and Kui Jia},
booktitle={Proceedings of the Neural Information Processing Systems (NeurIPS)},
year={2022}
}