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NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challenge Conference paper
Liang, Jie, Yi, Qiaosi, Liu, Shuaizheng, Sun, Lingchen, Zhang, Xindong, Zeng, Hui, Zhang, Lei, Timofte, Radu, Huang, Yibin, Liu, Shuai, Li, Yongqiang, Feng, Chaoyu, Wang, Xiaotao, Lei, Lei, Chen, Yuxiang, Chen, Xiangyu, Chen, Qiubo, Chen, Jiaxu, Sun, Fengyu, Cui, Mengying, Hu, Zhenyu, Liu, Jingyun, Ma, Wenzhuo, Wang, Ce, Zheng, Hanyou, Sun, Wanjie, Chen, Zhenzhong, Luo, Ziwei, Gustafsson, Fredrik K., Zhao, Zheng, Sjölund, Jens, Schön, Thomas B., Dun, Xiong, Ji, Pengzhou, Xing, Yujie, Wang, Xuquan, Wang, Zhanshan, Cheng, Xinbin, Xiao, Jun, He, Chenhang, Wang, Xiuyuan, Liu, Zhi Song, Miao, Zimeng, Yin, Zhicun, Liu, Ming, Zuo, Wangmeng, Wu, Rongyuan, Li, Shuai. NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challenge[C]:IEEE Computer Society, 2024, 6632-6640.
Authors:  Liang, Jie;  Yi, Qiaosi;  Liu, Shuaizheng;  Sun, Lingchen;  Zhang, Xindong; et al.
Favorite | TC[Scopus]:16 | Submit date：2024/11/05
Degradation  Computer Vision  Reviews  Conferences  Computational Modeling  Benchmark Testing  Image Restoration