NTIRE 2023 Challenge on Image Super-Resolution (×4): Methods and Results.

Yulun Zhang,Kai Zhang,Zheng Chen,Yawei Li,Radu Timofte,Junpei Zhang,Kexin Zhang,Rui Peng,Yanbiao Ma,Licheng Jia,Huaibo Huang,Xiaoqiang Zhou,Yuang Ai,Ran He,Yajun Qiu,Qiang Zhu,Pengfei Li,Qianhui Li,Shuyuan Zhu,Dafeng Zhang,Jia Li,Fan Wang, Chunmiao Li,TaeHyung Kim,Jungkeong Kil,Eon Kim,Yeonseung Yu,Beomyeol Lee,Subin Lee,Seokjae Lim,Somi Chae,Heungjun Choi,Zhi-Kai Huang,YiChung Chen,Yuan-Chun Chiang,Hao-Hsiang Yang,Wei-Ting Chen,Hua-En Chang,I-Hsiang Chen,Chia-Hsuan Hsieh,Sy-Yen Kuo,Ui-Jin Choi,Marcos V. Conde,Sunder Ali Khowaja,Jiseok Yoon,Ik Hyun Lee,Garas Gendy,Nabil Sabor,Jingchao Hou,Guanghui He,Zhao Zhang,Baiang Li,Huan Zheng,Suiyi Zhao,Yangcheng Gao,Yanyan Wei,Jiahuan Ren,Jiayu Wei,Yanfeng Li,Jia Sun,Zhanyi Cheng, Zhiyuan Li,Xu Yao,Xinyi Wang,Danxu Li,Xuan Cui,Jun Cao,Cheng Li, Jianbin Zheng,Anjali Sarvaiya,Kalpesh Prajapati,Ratnadeep Patra,Pragnesh Barik,Chaitanya Rathod,Kishor P. Upla,Kiran B. Raja,Raghavendra Ramachandra,Christoph Busch

CVPR Workshops（2023）

Cited 54|Views119

Key words

DIV2K testing dataset,high-quality results,high-resolution output,HR image restoration,low-resolution input,NTIRE 2023 challenge,single image super-resolution

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