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DCT-Net: Domain-Calibrated Translation for Portrait Stylization

Project page | Video | Paper

Official implementation of DCT-Net for Portrait Stylization.

DCT-Net: Domain-Calibrated Translation for Portrait Stylization,
Yifang Men1, Yuan Yao1, Miaomiao Cui1, Zhouhui Lian2, Xuansong Xie1,
1DAMO Academy, Alibaba Group, Beijing, China
2Wangxuan Institute of Computer Technology, Peking University, China
In: SIGGRAPH 2022 (TOG) arXiv preprint

Demo

demo_vid

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.

@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}
}