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Asymmetric Information Distillation Network for Lightweight Super Resolution
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2022 | Conference Paper |
Cited by: Papers (5)
The purpose of this paper is to design a lightweight network to achieve image super resolution performance equivalent to SRResNet. We design an asymmetric information distillation block (AIDB) with distillation information multiplexing and asymmetric information extraction capabilities to better achieve this goal. Distillation information multiplexing refers to the repeated processing of distilled...Show More
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;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;P.S. Hrishikesh;Densen Puthussery;C.V. Jiji
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2020 | Conference Paper |
Cited by: Papers (32)
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 percep...Show More
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;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;P.S. Hrishikesh;Densen Puthussery;C.V. Jiji
Year: 2020 | Conference Paper |
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