# 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/)<sup>1</sup>, Yuan Yao<sup>1</sup>, Miaomiao Cui<sup>1</sup>, Zhouhui Lian(https://www.icst.pku.edu.cn/zlian/)<sup>2</sup>, Xuansong Xie<sup>1</sup>
> _<sup>1</sup>[DAMO Academy, Alibaba Group](https://damo.alibaba.com), Beijing, China_  
> _<sup>2</sup>[Wangxuan Institute of Computer Technology, Peking University](http://www.comp.polyu.edu.hk](https://www.icst.pku.edu.cn/), China_     
> In: SIGGRAPH 2022 (**TOG**) 
> *arXiv preprint (https://arxiv.org/abs/2207.02426)* 


## Demo
Full-body translation in multi-styles & Video stylization
<table>
<tr>
    <td><img src="assets/demo_style.gif" width="100%"/></td>
    <td><img src="assets/demo_video.gif" width="100%"/></td>
</tr>
</table>

## News
(2022-07-07) The paper is available now at arxiv(https://arxiv.org/abs/2207.02426).


## Requirements


## Quick Start