most citedReal-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data

85 citations · 202 across the 8 of their papers we have counts for

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eess.IV2022★ 55 cited

Activating More Pixels in Image Super-Resolution Transformer

Xiangyu Chen, Xintao Wang, Jiantao Zhou +2

Transformer-based methods have shown impressive performance in low-level vision tasks, such as image super-resolution. However, we find that these networks can only utilize a limit…

eess.IV2021★ 85 cited

Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data

Xintao Wang, Liangbin Xie, Chao Dong +1

Though many attempts have been made in blind super-resolution to restore low-resolution images with unknown and complex degradations, they are still far from addressing general rea…