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oneThousand1000 committed Mar 25, 2022
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Expand Up @@ -8,7 +8,7 @@ The dataset is built by our HairMapper method.
> **HairMapper: Removing Hair from Portraits Using GANs**<br>
> [Yiqian Wu](https://onethousandwu.com/), [Yongliang Yang](http://www.yongliangyang.net/), [Xiaogang Jin](http://www.cad.zju.edu.cn/home/jin)*.<br>2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[Paper (4.21MB)](http://www.cad.zju.edu.cn/home/jin/cvpr2022/HairMapper.pdf ) [Video (46.7MB)](http://www.cad.zju.edu.cn/home/jin/cvpr2022/demo.mp4 ) [Suppl (4.42M)](http://www.cad.zju.edu.cn/home/jin/cvpr2022/Supplementary_Materials.pdf) [Project Page](http://www.cad.zju.edu.cn/home/jin/cvpr2022/cvpr2022.htm)
[Paper (4.21MB)](http://www.cad.zju.edu.cn/home/jin/cvpr2022/HairMapper.pdf ) [Video (46.7MB)](http://www.cad.zju.edu.cn/home/jin/cvpr2022/demo.mp4 ) [Suppl (4.42M)](http://www.cad.zju.edu.cn/home/jin/cvpr2022/Supplementary_Materials.pdf) [Project Page](http://www.cad.zju.edu.cn/home/jin/cvpr2022/cvpr2022.htm) [code]()

[Paper-high resolution (25.8MB)](https://drive.google.com/file/d/18DDvis0ABiN0ibnAuZePLrN5SjhIeuRR/view?usp=sharing ) [Suppl-high resolution (16.4M)](https://drive.google.com/file/d/1_hXrqicomEi79Tm52CKgNamezgWlykDh/view?usp=sharing)

Expand All @@ -23,7 +23,9 @@ Google drive link of the dataset will be released soon.
|[origin]() | original images, `{img_id}.png` |
|[res]() | results images , `{img_id}.png` |

## code

We will release the source code and pretrained model soon.

## Agreement

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