End-to-end Alternating Optimization for Blind Super Resolution

End-to-end Alternating Optimization for Blind Super Resolution

14 May 2021

Liang Wang

Papers citing "End-to-end Alternating Optimization for Blind Super Resolution"

10 / 10 papers shown

Title
Image Super-Resolution with Taylor Expansion Approximation and Large Field Reception Jia Feng Yuan Wang Dianbo Sui Fengchuang Xing SupR 44 0 0 01 Aug 2024
Learning Correction Errors via Frequency-Self Attention for Blind Image Super-Resolution Haochen Sun Yan Yuan Lijuan Su Hao-Yu Shao 41 1 0 12 Mar 2024
KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution J. Fu Hong Wang Qi Xie Qian Zhao Deyu Meng Zongben Xu SupR 144 26 0 21 Sep 2022
Joint Learning Content and Degradation Aware Feature for Blind Super-Resolution Yifeng Zhou Chuming Lin Donghao Luo Yong Liu Ying Tai Chengjie Wang M. Chen 26 12 0 29 Aug 2022
A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds Wenlong Zhang Guangyuan Shi Yihao Liu Chao Dong Xiao-Ming Wu 30 22 0 10 May 2022
Learning the Degradation Distribution for Blind Image Super-Resolution Zhengxiong Luo Yan Huang Shang Li Liangsheng Wang Tieniu Tan 26 51 0 09 Mar 2022
Deep Constrained Least Squares for Blind Image Super-Resolution Ziwei Luo Haibin Huang Lei Yu Youwei Li Haoqiang Fan Shuaicheng Liu SupR 35 87 0 15 Feb 2022
Deep Unfolding Network for Image Super-Resolution Kaicheng Zhang Luc Van Gool Radu Timofte SupR 118 539 0 23 Mar 2020
Lightweight Image Super-Resolution with Information Multi-distillation Network Zheng Hui Xinbo Gao Yunchu Yang Xiumei Wang SupR 71 867 0 26 Sep 2019
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 198 5,176 0 16 Sep 2016