Unsupervised Degradation Representation Learning for Blind Super-Resolution

1 April 2021

Papers citing "Unsupervised Degradation Representation Learning for Blind Super-Resolution"

10 / 60 papers shown

Title
Improving Super-Resolution Performance using Meta-Attention Layers Matthew Aquilina Christian Galea J. Abela K. Camilleri R. Farrugia SupR 27 8 0 27 Oct 2021
Toward Real-world Image Super-resolution via Hardware-based Adaptive Degradation Models Rui Ma Johnathan Czernik Xian Du 31 0 0 20 Oct 2021
SwinIR: Image Restoration Using Swin Transformer Christos Sakaridis Jie Cao Guolei Sun Peng Sun Luc Van Gool Radu Timofte ViT 95 2,824 0 23 Aug 2021
Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution Christos Sakaridis Guolei Sun Peng Sun Luc Van Gool Radu Timofte SupR 31 76 0 11 Aug 2021
Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling Christos Sakaridis Andreas Lugmayr Peng Sun Martin Danelljan Luc Van Gool Radu Timofte 48 102 0 11 Aug 2021
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data Xintao Wang Liangbin Xie Chao Dong Ying Shan 39 1,106 0 22 Jul 2021
Blind Image Super-Resolution: A Survey and Beyond Anran Liu Yihao Liu Jinjin Gu Yu Qiao Chao Dong 36 161 0 07 Jul 2021
Blind Image Super-Resolution via Contrastive Representation Learning Jiahui Zhang Shijian Lu Fangneng Zhan Yingchen Yu 33 51 0 01 Jul 2021
Deep Unfolding Network for Image Super-Resolution Peng Sun Luc Van Gool Radu Timofte SupR 121 539 0 23 Mar 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 281 3,381 0 09 Mar 2020