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NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results

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arxiv 2005.01056 v1 pith:TNML7EY5 submitted 2020-05-03 eess.IV cs.CV

NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results

Kai Zhang , Shuhang Gu , Radu Timofte , Taizhang Shang , Qiuju Dai , Shengchen Zhu , Tong Yang , Yandong Guo
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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 Jong Chul 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 Zhi Jin Jiahao Wu Yifu Chen Chenming Shang Huanrong Zhang Jeongki Min Hrishikesh P S Densen Puthussery Jiji C V
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classification eess.IV cs.CV
keywords resultschallengeperceptualsuper-resolutionextremehighimagentire
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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.

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