NTIRE 2023 Challenge on 360° Omnidirectional Image and Video Super-Resolution: Datasets, Methods and Results
In: IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW); (2023-06-01) S. 1731-1745
Online
Konferenz
Zugriff:
Titel: |
NTIRE 2023 Challenge on 360° Omnidirectional Image and Video Super-Resolution: Datasets, Methods and Results
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Autor/in / Beteiligte Person: | Cao, Mingdeng ; Mou, Chong ; Yu, Fanghua ; Wang, Xintao ; Zheng, Yinqiang ; Zhang, Jian ; Dong, Chao ; Li, Gen ; Shan, Ying ; Timofte, Radu ; Sun, Xiaopeng ; Li, Weiqi ; Zhang, Zhenyu ; Sheng, Xuhan ; Chen, Bin ; Ma, Haoyu ; Cheng, Ming ; Zhao, Shijie ; Cui, Wanwan ; Xu, Tianyu ; Li, Chunyang ; Bao, Long ; Sun, Heng ; Huang, Huaibo ; Zhou, Xiaoqiang ; Ai, Yuang ; He, Ran ; Wu, Renlong ; Yang, Yi ; Zhang, Zhilu ; Zhang, Shuohao ; Li, Junyi ; Chen, Yunjin ; Ren, Dongwei ; Zuo, Wangmeng ; Wang, Qian ; Yang, Hao-Hsiang ; Chen, Yi-Chung ; Huang, Zhi-Kai ; Chen, Wei-Ting ; Chiang, Yuan-Chun ; Chang, Hua-En ; Chen, I-Hsiang ; Hsieh, Chia-Hsuan ; Kuo, Sy-Yen ; Zhang, Zebin ; Zhang, Jiaqi ; Wang, Yuhui ; Cui, Shuhao ; Huang, Junshi ; Zhu, Li ; Tian, Shuman ; Yu, Wei ; Luo, Bingchun |
Link: | |
Quelle: | IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW); (2023-06-01) S. 1731-1745 |
Veröffentlichung: | 2023 |
Medientyp: | Konferenz |
ISBN: | 979-8-3503-0249-3 (print) |
ISSN: | 2160-7516 (print) |
DOI: | 10.1109/CVPRW59228.2023.00174 |
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