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@@ -1,10 +1,10 @@
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# Real-ESRGAN
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-[**Paper**](https://arxiv.org/abs/2101.04061)
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+[**Paper**](https://arxiv.org/abs/2107.10833)
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### :book: Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
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-> [[Paper](https://arxiv.org/abs/2101.04061)]   [Project Page]   [Demo] <br>
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+> [[Paper](https://arxiv.org/abs/2107.10833)]   [Project Page]   [Demo] <br>
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> [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>
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> Applied Research Center (ARC), Tencent PCG; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
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@@ -21,7 +21,7 @@ Though many attempts have been made in blind super-resolution to restore low-res
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@Article{wang2021realesrgan,
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title={Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data},
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author={Xintao Wang and Liangbin Xie and Chao Dong and Ying Shan},
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- journal={arXiv:2107.xxxxx},
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+ journal={arXiv:2107.10833},
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year={2021}
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}
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