# DCT-Net: Domain-Calibrated Translation for Portrait Stylization
### [Project page](https://menyifang.github.io/projects/DCTNet/DCTNet.html) | [Video](https://www.youtube.com/watch?v=Y8BrfOjXYQM) | [Paper](https://arxiv.org/abs/2207.02426)
Official implementation of DCT-Net for Portrait Stylization.
> [**DCT-Net: Domain-Calibrated Translation for Portrait Stylization**](arxiv_url_coming_soon),
> [Yifang Men](https://menyifang.github.io/)1, Yuan Yao1, Miaomiao Cui1, [Zhouhui Lian](https://www.icst.pku.edu.cn/zlian/)2, Xuansong Xie1,
> _1[DAMO Academy, Alibaba Group](https://damo.alibaba.com), Beijing, China_
> _2[Wangxuan Institute of Computer Technology, Peking University](https://www.icst.pku.edu.cn/), China_
> In: SIGGRAPH 2022 (**TOG**)
> *[arXiv preprint](https://arxiv.org/abs/2207.02426)*
## Demo
![demo_vid](assets/demo.gif)
## News
(2022-07-07) The paper is available now at arxiv(https://arxiv.org/abs/2207.02426).
## Requirements
## Quick Start
## Citation
If you find this code useful for your research, please use the following BibTeX entry.
```bibtex
@inproceedings{men2022dct,
title={DCT-Net: Domain-Calibrated Translation for Portrait Stylization},
author={Men, Yifang and Yao, Yuan and Cui, Miaomiao and Lian, Zhouhui and Xie, Xuansong},
journal={ACM Transactions on Graphics (TOG)},
volume={41},
number={4},
pages={1--9},
year={2022},
publisher={ACM Vancouver, BC, Canada}
}
```