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NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: Professional Image Quality Assessment (Track 1)

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Qin, Guanyi, Liang, Jie, Zhang, Bingbing, Qu, Lishen, Guan, Ya-nan, Zeng, Hui, Zhang, Lei, Timofte, Radu, Sun, Jianhui, Yue, Xinli, Shao, Tao, Hou, Huan, Liao, Wenjie, Han, Shuhao, Yuan, Jieyu, Guo, Chunle, Li, Chongyi, Chen, Zewen, Liu, Yunze, Guo, Jian, Wang, Juan, Zeng, Yun, Li, Bing, Hu, Weiming, Li, Hesong, Liu, Dehua, Zhang, Xinjie, Li, Qiang, Yan, Li, Dong, Wei, Yan, Qingsen, Li, Xingcan, Zhou, Shenglong, Yin, Manjiang, Zhang, Yinxiang, Wang, Hongbo, Xu, Jikai, Fan, Zhaohui, Zhu, Dandan, Sun, Wei, Zhang, Weixia, Zhu, Kun, Zhang, Nana, Zhang, Kaiwei, Zhang, Qianqian, Zhang, Zhihan, Gordon, William, Wu, Linwei, Tu, Jiachen, Xu, Guoyi, Jiang, Yaoxin, Liu, Cici, Shi, Yaokun
Format:	Preprint
Publié:	2026
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence
Accès en ligne:	Acceder al recurso
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Internet

https://arxiv.org/abs/2604.12512