Title
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
Abstract
This paper reviews the NTIRE 2020 challenge on real image denoising with focus on the newly introduced dataset, the proposed methods and their results. The challenge is a new version of the previous NTIRE 2019 challenge on real image denoising that was based on the SIDD benchmark. This challenge is based on a newly collected validation and testing image datasets, and hence, named SIDD+. This challenge has two tracks for quantitatively evaluating image denoising performance in (1) the Bayer-pattern rawRGB and (2) the standard RGB (sRGB) color spaces. Each track ~250 registered participants. A total of 22 teams, proposing 24 methods, competed in the final phase of the challenge. The proposed methods by the participating teams represent the current state-of-the-art performance in image denoising targeting real noisy images. The newly collected SIDD+ datasets are publicly available at: https://bit.ly/siddplus_data.
Year
DOI
Venue
2020
10.1109/CVPRW50498.2020.00256
CVPR Workshops
DocType
Citations 
PageRank 
Conference
2
0.36
References 
Authors
0
90
Name
Order
Citations
PageRank
Abdelrahman Abdelhamed1142.36
Mahmoud Afifi23510.85
Radu Timofte31880118.45
Michael S. Brown42122129.13
Cao Yue520.36
Zhang Zhilu620.36
Wangmeng Zuo73833173.11
Zhang Xiaoling820.36
Liu Jiye920.36
Chen Wendong1020.36
Wen Changyuan1120.36
Liu Meng1220.70
Lv Shuailin1320.36
Zhang Yunchao1420.36
Pan Zhihong1520.36
Baopu Li1634830.88
Xi Teng1720.36
Fan Yanwen1820.36
Xiyu Yu19322.28
Gang Zhang20189.28
Liu Jingtuo2120.36
Han Junyu2220.36
Er-rui Ding2314229.31
Yu Songhyun2420.36
Park Bumjun2520.36
Jeong Jechang2620.36
Liu Shuai2720.36
Zong Ziyao2820.36
Nan Nan2941.80
Li Chenghua3020.36
Yang Zengli3120.36
Bao Long3220.36
Wang Shuangquan3320.36
Bai Dongwoon3420.36
Lee Jungwon3520.36
Kim Youngjung3620.36
Rho Kyeongha3720.36
Shin Changyeop3820.36
Kim Sungho3920.36
Tang Pengliang4020.36
Zhao Yiyun4120.36
Yuqian Zhou42345.93
Yuchen Fan4333217.14
Thomas S. Huang44278152618.42
Li Zhihao4520.36
Shah Nisarg A.4620.36
Liu Wei4720.36
Qiong Yan4863022.47
Zhao Yuzhi4920.36
Możejko Marcin5020.36
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