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NTIRE 2020 challenge on real-world image super-resolution: Methods and resultsoa mark
  • Lugmayr, Andreas ;
  • Danelljan, Martin ;
  • Timofte, Radu ;
  • Ahn, Namhyuk ;
  • Bai, Dongwoon ;
  • Cai, Jie ;
  • Cao, Yun ;
  • Chen, Junyang ;
  • Cheng, Kaihua ;
  • Chun, Se Young ;
  • Deng, Wei ;
  • El-Khamy, Mostafa ;
  • Ho, Chiu Man ;
  • Ji, Xiaozhong ;
  • Kheradmand, Amin ;
  • Kim, Gwantae ;
  • Ko, Hanseok ;
  • Lee, Kanghyu ;
  • Lee, Jungwon ;
  • Li, Hao ;
  • Liu, Ziluan ;
  • Liu, Zhi Song ;
  • Liu, Shuai ;
  • Lu, Yunhua ;
  • Meng, Zibo ;
  • Michelini, Pablo Navarrete ;
  • Micheloni, Christian ;
  • Prajapati, Kalpesh ;
  • Ren, Haoyu ;
  • Seo, Yong Hyeok ;
  • Siu, Wan Chi ;
  • Sohn, Kyung Ah ;
  • Tai, Ying ;
  • Umer, Rao Muhammad ;
  • Wang, Shuangquan ;
  • Wang, Huibing ;
  • Wu, Timothy Haoning ;
  • Wu, Haoning ;
  • Yang, Biao ;
  • Yang, Fuzhi ;
  • Yoo, Jaejun ;
  • Zhao, Tongtong ;
  • Zhou, Yuanbo ;
  • Zhuo, Haijie ;
  • Zong, Ziyao ;
  • Zou, Xueyi ;
  • Wang, Li Wen ;
  • Cani, Marie Paule ;
  • Yang, Huan ;
  • Fu, Jianlong ;
  • Shi, Yukai ;
  • Park, Jaihyun ;
  • Lee, Junyeop ;
  • Min, Jeongki ;
  • Lee, Bokyeung ;
  • Hu, Fengshuo ;
  • Wang, Yanhong ;
  • Peng, Jinjia ;
  • Wang, Chengjie ;
  • Li, Jilin ;
  • Huang, Feiyue ;
  • Liu, Xing ;
  • Chen, Shuaijun ;
  • Zhao, Lei ;
  • Wang, Zhan ;
  • Lin, Yuxuan ;
  • Jia, Xu ;
  • Gao, Qinquan ;
  • Patel, Heena ;
  • Chudasama, Vishal ;
  • Upla, Kishor ;
  • Ramachandra, Raghavendra ;
  • Raja, Kiran ;
  • Busch, Christoph
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Publication Year
2020-06-01
Journal
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Publisher
IEEE Computer Society
Citation
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, Vol.2020-June, pp.2058-2076
Mesh Keyword
High-resolution imagesImage super resolutionsImages processingIt focusReal world settingReal-worldReal-world imageSmart phonesSuperresolutionSuperresolution methods
All Science Classification Codes (ASJC)
Computer Vision and Pattern RecognitionElectrical and Electronic Engineering
Abstract
This paper reviews the NTIRE 2020 challenge on real world super-resolution. It focuses on the participating methods and final results. The challenge addresses the real world setting, where paired true high and low-resolution images are unavailable. For training, only one set of source input images is therefore provided along with a set of unpaired high-quality target images. In Track 1: Image Processing artifacts, the aim is to super-resolve images with synthetically generated image processing artifacts. This allows for quantitative benchmarking of the approaches w.r.t. a ground-truth image. In Track 2: Smartphone Images, real low-quality smart phone images have to be super-resolved. In both tracks, the ultimate goal is to achieve the best perceptual quality, evaluated using a human study. This is the second challenge on the subject, following AIM 2019, targeting to advance the state-of-the-art in super-resolution. To measure the performance we use the benchmark protocol from AIM 2019. In total 22 teams competed in the final testing phase, demonstrating new and innovative solutions to the problem.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36565
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85090110747&origin=inward
DOI
https://doi.org/10.1109/cvprw50498.2020.00255
Journal URL
http://ieeexplore.ieee.org/xpl/conferences.jsp
Type
Conference
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Sohn, Kyung-Ah손경아
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