# 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} } ```