Learning to Zoom-in via Learning to Zoom-out: Real-world Super-resolution by Generating and Adapting Degradation

8 January 2020

Papers citing "Learning to Zoom-in via Learning to Zoom-out: Real-world Super-resolution by Generating and Adapting Degradation"

5 / 5 papers shown

Title
Trainable Loss Weights in Super-Resolution Arash Chaichi Mellatshahi S. Kasaei SupR 27 0 0 25 Jan 2023
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
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey Chongzhen Zhang Jianrui Wang Gary G. Yen Chaoqiang Zhao Qiyu Sun Yang Tang Feng Qian Jürgen Kurths AAML 31 20 0 29 Mar 2020
Unsupervised Learning for Real-World Super-Resolution Andreas Lugmayr Martin Danelljan Radu Timofte SSL SupR 143 167 0 20 Sep 2019
Learning Deep Gradient Descent Optimization for Image Deconvolution Dong Gong Zhen Zhang Javen Qinfeng Shi Anton van den Hengel Chunhua Shen Yanning Zhang 54 83 0 10 Apr 2018