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2021-07-23 09:33:16 +08:00
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# Real-ESRGAN
[**Paper**](https://arxiv.org/abs/2101.04061)
[**Paper**](https://arxiv.org/abs/2107.10833)
### :book: Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
> [[Paper](https://arxiv.org/abs/2101.04061)] &emsp; [Project Page] &emsp; [Demo] <br>
> [[Paper](https://arxiv.org/abs/2107.10833)] &emsp; [Project Page] &emsp; [Demo] <br>
> [Xintao Wang](https://xinntao.github.io/), Liangbin Xie, [Chao Dong](https://scholar.google.com.hk/citations?user=OSDCB0UAAAAJ), [Ying Shan](https://scholar.google.com/citations?user=4oXBp9UAAAAJ&hl=en) <br>
> Applied Research Center (ARC), Tencent PCG; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
@@ -21,7 +21,7 @@ Though many attempts have been made in blind super-resolution to restore low-res
@Article{wang2021realesrgan,
title={Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data},
author={Xintao Wang and Liangbin Xie and Chao Dong and Ying Shan},
journal={arXiv:2107.xxxxx},
journal={arXiv:2107.10833},
year={2021}
}