NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results
K. Zhang
Shuhang Gu
Radu Timofte
Taizhang Shang
Qiuju Dai
Shengchen Zhu
Tong Yang
Yandong Guo
Younghyun Jo
Sejong Yang
Seon Joo Kim
Lin Zha
Jiande Jiang
Xinbo Gao
Wen Lu
Jing Liu
Kwangjin Yoon
Taegyun Jeon
Kazutoshi Akita
Takeru Ooba
Norimichi Ukita
Zhipeng Luo
Yuehan Yao
Zhenyu Xu
Dongliang He
Wenhao Wu
Yukang Ding
Chao Li
Fu Li
Shilei Wen
Jianwei Li
Fuzhi Yang
Huan Yang
Jianlong Fu
Byung-Hoon Kim
JaeHyun Baek
J. C. Ye
Yuchen Fan
Thomas S. Huang
Junyeop Lee
Bokyeung Lee
Jungki Min
Gwantae Kim
Kanghyu Lee
Jaihyun Park
Mykola Mykhailych
Haoyu Zhong
Yukai Shi
Xiaojun Yang
Zhijing Yang
Liang Lin
Tongtong Zhao
Jinjia Peng
Huibing Wang
Zhihao Jin
Jiahao Wu
Yifu Chen
Chenming Shang
Huanrong Zhang
Jeongki Min
S. HrishikeshP.
Densen Puthussery
V. JijiC.

Abstract
This paper reviews the NTIRE 2020 challenge on perceptual extreme super-resolution with focus on proposed solutions and results. The challenge task was to super-resolve an input image with a magnification factor 16 based on a set of prior examples of low and corresponding high resolution images. The goal is to obtain a network design capable to produce high resolution results with the best perceptual quality and similar to the ground truth. The track had 280 registered participants, and 19 teams submitted the final results. They gauge the state-of-the-art in single image super-resolution.
View on arXivComments on this paper