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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  
A Report on Education of Journalism and Media Diversity in Mainland China Report
报告类型: 咨詢報告 Consulting Report, , 2022
Authors:  Wang, Haiyan;  Song, Yuxiang
Favorite |  | Submit date：2022/08/20
Journalism Education  Chinese Media  Diversity  Gender  Journalism Schools  Digital Media