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NTIRE 2022 Challenge on Perceptual Image Quality Assessment
Date Issued
01-01-2022
Author(s)
Gu, Jinjin
Cai, Haoming
Dong, Chao
Ren, Jimmy S.
Timofte, Radu
Gong, Yuan
Lao, Shanshan
Shi, Shuwei
Wang, Jiahao
Yang, Sidi
Wu, Tianhe
Xia, Weihao
Yang, Yujiu
Heng, Cong
Fu, Lingzhi
Zhang, Rongyu
Zhang, Yusheng
Wang, Hao
Song, Hongjian
Wang, Jing
Sun, Ming
Li, Mading
Zhao, Kai
Yuan, Kun
Kong, Zishang
Wu, Mingda
Zheng, Chuanchuan
Burchi, Maxime
Feng, Longtao
Zhang, Tao
Li, Yang
Xu, Jingwen
Wang, Haiqiang
Liao, Yiting
Li, Junlin
Xu, Kele
Sun, Tao
Xiong, Yunsheng
Keshari, Abhisek
Komal, Komal
Thakur, Sadbhawana
Jakhetiya, Vinit
Subudhi, Badri N.
Dutta, Saikat
Das, Sourya Dipta
Shah, Nisarg A.
Tiwari, Anil Kumar
Yang, Sidi
Wu, Tianhe
Shi, Shuwei
Gong, Yuan
Cao, Mingdeng
Wang, Jiahao
Yang, Yujiu
Wang, Jing
Fan, Haotian
Hou, Xiaoxia
Conde, Marcos V.
Sun, Ming
Li, Mading
Zhao, Kai
Yuan, Kun
Kong, Zishang
Wu, Mingda
Zheng, Chuanchuan
Cong, Heng
Fu, Lingzhi
Zhang, Rongyu
Zhang, Yusheng
Wang, Hao
Song, Hongjian
Yang, Hao Hsiang
Chang, Hua En
Huang, Zhi Kai
Chen, Wei Ting
Kuo, Sy Yen
Abstract
This paper reports on the NTIRE 2022 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2022. This challenge is held to address the emerging challenge of IQA by perceptual image processing algorithms. The output images of these algorithms have completely different characteristics from traditional distortions and are included in the PIPAL dataset used in this challenge. This challenge is divided into two tracks, a full-reference IQA track similar to the previous NTIRE IQA challenge and a new track that focuses on the no-reference IQA methods. The challenge has 192 and 179 registered participants for two tracks. In the final testing stage, 7 and 8 participating teams submitted their models and fact sheets. Almost all of them have achieved better results than existing IQA methods, and the winning method can demonstrate state-of-the-art performance.
Volume
2022-June