학술논문
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
Document Type
Working Paper
Author
Wei, Pengxu; Lu, Hannan; Timofte, Radu; Lin, Liang; Zuo, Wangmeng; Pan, Zhihong; Li, Baopu; Xi, Teng; Fan, Yanwen; Zhang, Gang; Liu, Jingtuo; Han, Junyu; Ding, Errui; Xie, Tangxin; Cao, Liang; Zou, Yan; Shen, Yi; Zhang, Jialiang; Jia, Yu; Cheng, Kaihua; Wu, Chenhuan; Lin, Yue; Liu, Cen; Peng, Yunbo; Zou, Xueyi; Luo, Zhipeng; Yao, Yuehan; Xu, Zhenyu; Zamir, Syed Waqas; Arora, Aditya; Khan, Salman; Hayat, Munawar; Khan, Fahad Shahbaz; Ahn, Keon-Hee; Kim, Jun-Hyuk; Choi, Jun-Ho; Lee, Jong-Seok; Zhao, Tongtong; Zhao, Shanshan; Han, Yoseob; Kim, Byung-Hoon; Baek, JaeHyun; Wu, Haoning; Xu, Dejia; Zhou, Bo; Guan, Wei; Li, Xiaobo; Ye, Chen; Li, Hao; Zhong, Haoyu; Shi, Yukai; Yang, Zhijing; Yang, Xiaojun; Li, Xin; Jin, Xin; Wu, Yaojun; Pang, Yingxue; Liu, Sen; Liu, Zhi-Song; Wang, Li-Wen; Li, Chu-Tak; Cani, Marie-Paule; Siu, Wan-Chi; Zhou, Yuanbo; Umer, Rao Muhammad; Micheloni, Christian; Cong, Xiaofeng; Gupta, Rajat; Almasri, Feras; Vandamme, Thomas; Debeir, Olivier
Source
European Conference on Computer Vision Workshops, 2020
Subject
Language
Abstract
This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020. This challenge involves three tracks to super-resolve an input image for $\times$2, $\times$3 and $\times$4 scaling factors, respectively. The goal is to attract more attention to realistic image degradation for the SR task, which is much more complicated and challenging, and contributes to real-world image super-resolution applications. 452 participants were registered for three tracks in total, and 24 teams submitted their results. They gauge the state-of-the-art approaches for real image SR in terms of PSNR and SSIM.