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NTIRE 2023 Challenge on 360° Omnidirectional Image and Video Super-Resolution: Datasets, Methods and Results.

Mingdeng Cao,Chong Mou,Fanghua Yu,Xintao Wang,Yinqiang Zheng,Jian Zhang,Chao Dong,Gen Li,Ying Shan,Radu Timofte,Xiaopeng Sun,Weiqi Li,Zhenyu Zhang,Xuhan Sheng,Bin Chen,Haoyu Ma,Ming Cheng,Shijie Zhao, Wanwan Cui,Tianyu Xu,Chunyang Li,Long Bao,Heng Sun,Huaibo Huang,Xiaoqiang Zhou,Yuang Ai,Ran He,Renlong Wu,Yi Yang,Zhilu Zhang,Shuohao Zhang,Junyi Li,Yunjin Chen,Dongwei Ren,Wangmeng Zuo,Qian Wang,Hao-Hsiang Yang,Yi-Chung Chen,Zhi-Kai Huang,Wei-Ting Chen,Yuan-Chun Chiang,Hua-En Chang,I-Hsiang Chen,Chia-Hsuan Hsieh,Sy-Yen Kuo, Zebin Zhang,Jiaqi Zhang, Yuhui Wang,Shuhao Cui,Junshi Huang,Li Zhu,Shuman Tian, Wei Yu,Bingchun Luo

CVPR Workshops（2023）

Cited 40|Views204
Key words
360° omnidirectional image,NTIRE 2023 challenge,ODV360 datasets,omnidirectional characteristics,omnidirectional image super-resolution,omnidirectional video super-resolution,realistic omnidirectional downsampling,video compression,video track
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