A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds

10 May 2022

Xiao-Ming Wu

Papers citing "A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds"

35 / 35 papers shown

Title
Infrared Image Super-Resolution: Systematic Review, and Future Trends Y. Huang Tomo Miyazaki Xiao-Fang Liu S. Omachi SupR 146 13 0 21 Feb 2025
UniRestorer: Universal Image Restoration via Adaptively Estimating Image Degradation at Proper Granularity Jingbo Lin Zhilu Zhang Wenbo Li Renjing Pei Hang Xu Hongzhi Zhang Wangmeng Zuo 96 1 0 28 Dec 2024
Understanding Layer Significance in LLM Alignment Guangyuan Shi Zexin Lu Xiaoyu Dong Wenlong Zhang Xuanyu Zhang Yujie Feng Xiao-Ming Wu 109 3 0 23 Oct 2024
Content-decoupled Contrastive Learning-based Implicit Degradation Modeling for Blind Image Super-Resolution Jiang Yuan Ji Ma Bo Wang Weiming Hu 73 0 0 10 Aug 2024
SwinIR: Image Restoration Using Swin Transformer Christos Sakaridis Jie Cao Guolei Sun Peng Sun Luc Van Gool Radu Timofte ViT 189 2,930 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 92 76 0 11 Aug 2021
Finding Discriminative Filters for Specific Degradations in Blind Super-Resolution Liangbin Xie Xintao Wang Chao Dong Zhongang Qi Ying Shan 30 39 0 02 Aug 2021
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data Xintao Wang Liangbin Xie Chao Dong Ying Shan 125 1,162 0 22 Jul 2021
End-to-end Alternating Optimization for Blind Super Resolution Zhengxiong Luo Yan Huang Shang Li Liang Wang Tieniu Tan SupR 103 34 0 14 May 2021
Unsupervised Degradation Representation Learning for Blind Super-Resolution Longguang Wang Yingqian Wang Xiaoyu Dong Qingyu Xu Jungang Yang W. An Yulan Guo 65 318 0 01 Apr 2021
Flow-based Kernel Prior with Application to Blind Super-Resolution Christos Sakaridis Peng Sun Shuhang Gu Luc Van Gool Radu Timofte SupR 60 129 0 29 Mar 2021
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution Peng Sun Christos Sakaridis Luc Van Gool Radu Timofte 116 594 0 25 Mar 2021
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results Pengxu Wei Hannan Lu Radu Timofte Liang Lin W. Zuo ... Jun-Ho Choi Jong-Seok Lee Feras Almasri T. Vandamme O. Debeir SupR 89 41 0 25 Sep 2020
Meta-Transfer Learning for Zero-Shot Super-Resolution Jae Woong Soh Sunwoo Cho N. Cho SupR 77 284 0 27 Feb 2020
Fast Adaptation to Super-Resolution Networks via Meta-Learning Seobin Park Jinsu Yoo Donghyeon Cho Jiwon Kim Tae Hyun Kim SupR 58 85 0 09 Jan 2020
Unsupervised Learning for Real-World Super-Resolution Andreas Lugmayr Martin Danelljan Radu Timofte SSL SupR 182 169 0 20 Sep 2019
Blind Super-Resolution Kernel Estimation using an Internal-GAN Sefi Bell-Kligler Assaf Shocher Michal Irani SupR 64 454 0 14 Sep 2019
SROBB: Targeted Perceptual Loss for Single Image Super-Resolution Mohammad Saeed Rad Behzad Bozorgtabar Urs-Viktor Marti Max Basler H. K. Ekenel Jean-Philippe Thiran SupR 49 123 0 20 Aug 2019
RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolution Wenlong Zhang Yihao Liu Chao Dong Yu Qiao GAN 50 355 0 18 Aug 2019
Modulating Image Restoration with Continual Levels via Adaptive Feature Modification Layers Jingwen He Chao Dong Yu Qiao SupR 52 92 0 17 Apr 2019
Blind Super-Resolution With Iterative Kernel Correction Jinjin Gu Hannan Lu W. Zuo Chao Dong SupR 77 475 0 06 Apr 2019
Toward Real-World Single Image Super-Resolution: A New Benchmark and A New Model Jianrui Cai Huiyu Zeng Hongwei Yong Zisheng Cao Lei Zhang SupR 82 511 0 01 Apr 2019
Unsupervised Image Super-Resolution using Cycle-in-Cycle Generative Adversarial Networks Yuan. Yuan Siyuan Liu Jiawei Zhang Yongbing Zhang Chao Dong Liang Lin SupR 83 438 0 03 Sep 2018
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks Xintao Wang Ke Yu Shixiang Wu Jinjin Gu Yihao Liu Chao Dong Chen Change Loy Yu Qiao Xiaoou Tang 157 3,728 0 01 Sep 2018
Image Super-Resolution Using Very Deep Residual Channel Attention Networks Yulun Zhang Kunpeng Li Kai Li Lichen Wang Bineng Zhong Y. Fu SupR 103 4,323 0 08 Jul 2018
Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform Xintao Wang K. Yu Chao Dong Chen Change Loy SupR 75 983 0 09 Apr 2018
Deep Back-Projection Networks For Super-Resolution Muhammad Haris Gregory Shakhnarovich Norimichi Ukita SupR 89 1,329 0 07 Mar 2018
Residual Dense Network for Image Super-Resolution Yulun Zhang Yapeng Tian Yu Kong Bineng Zhong Y. Fu SupR 138 3,320 0 24 Feb 2018
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations Peng Sun W. Zuo Lei Zhang SupR 98 911 0 17 Dec 2017
"Zero-Shot" Super-Resolution using Deep Internal Learning Assaf Shocher Nadav Cohen Michal Irani SupR 86 854 0 17 Dec 2017
Enhanced Deep Residual Networks for Single Image Super-Resolution Bee Lim Sanghyun Son Heewon Kim Seungjun Nah Kyoung Mu Lee SupR 176 5,908 0 10 Jul 2017
EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis Mehdi S. M. Sajjadi Bernhard Schölkopf M. Hirsch SupR 70 971 0 23 Dec 2016
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 242 10,693 0 15 Sep 2016
Accurate Image Super-Resolution Using Very Deep Convolutional Networks Jiwon Kim Jung Kwon Lee Kyoung Mu Lee SupR 104 6,188 0 14 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014