NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results

• URL: http://arxiv.org/abs/2005.04117v1
• Date: Fri, 8 May 2020 15:46:19 GMT
• Title: NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
• Authors: Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S. Brown, Yue Cao, Zhilu Zhang, Wangmeng Zuo, Xiaoling Zhang, Jiye Liu, Wendong Chen, Changyuan Wen, Meng Liu, Shuailin Lv, Yunchao Zhang, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Xiyu Yu, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Songhyun Yu, Bumjun Park, Jechang Jeong, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Zengli Yang, Long Bao, Shuangquan Wang, Dongwoon Bai, Jungwon Lee, Youngjung Kim, Kyeongha Rho, Changyeop Shin, Sungho Kim, Pengliang Tang, Yiyun Zhao, Yuqian Zhou, Yuchen Fan, Thomas Huang, Zhihao Li, Nisarg A. Shah, Wei Liu, Qiong Yan, Yuzhi Zhao, Marcin Mo\.zejko, Tomasz Latkowski, Lukasz Treszczotko, Micha{\l} Szafraniuk, Krzysztof Trojanowski, Yanhong Wu, Pablo Navarrete Michelini, Fengshuo Hu, Yunhua Lu, Sujin Kim, Wonjin Kim, Jaayeon Lee, Jang-Hwan Choi, Magauiya Zhussip, Azamat Khassenov, Jong Hyun Kim, Hwechul Cho, Priya Kansal, Sabari Nathan, Zhangyu Ye, Xiwen Lu, Yaqi Wu, Jiangxin Yang, Yanlong Cao, Siliang Tang, Yanpeng Cao, Matteo Maggioni, Ioannis Marras, Thomas Tanay, Gregory Slabaugh, Youliang Yan, Myungjoo Kang, Han-Soo Choi, Kyungmin Song, Shusong Xu, Xiaomu Lu, Tingniao Wang, Chunxia Lei, Bin Liu, Rajat Gupta, Vineet Kumar
• Abstract summary: This paper reviews the NTIRE 2020 challenge on real image denoising with focus on the newly introduced dataset. The challenge is a new version of the previous NTIRE 2019 challenge on real image denoising that was based on the SIDD benchmark.
• Score: 181.2861509946241
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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.

Related papers

• NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and Results [106.27490184458715]
  This paper summarizes the 3rd NTIRE challenge on stereo image super-resolution (SR) The task of this challenge is to super-resolve a low-resolution stereo image pair to a high-resolution one with a magnification factor of x4 under a limited computational budget.
  arXiv  Detail & Related papers  (2024-09-25T13:59:36Z)
• NTIRE 2024 Challenge on Image Super-Resolution ($\times$4): Methods and Results [126.78130602974319]
  This paper reviews the NTIRE 2024 challenge on image super-resolution ($times$4) The challenge involves generating corresponding high-resolution (HR) images, magnified by a factor of four, from low-resolution (LR) inputs. The aim of the challenge is to obtain designs/solutions with the most advanced SR performance.
  arXiv  Detail & Related papers  (2024-04-15T13:45:48Z)
• NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results [116.8625268729599]
  NTIRE challenge has 1 track aiming at the stereo image super-resolution problem under a standard bicubic degradation. In total, 238 participants were successfully registered, and 21 teams competed in the final testing phase. This challenge establishes a new benchmark for stereo image SR.
  arXiv  Detail & Related papers  (2022-04-20T02:55:37Z)
• NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results [116.77874476501913]
  Given a noisy burst as input, the task in the challenge was to generate a clean RGB image with 4 times higher resolution. The challenge contained two tracks; Track 1 evaluating on synthetically generated data, and Track 2 using real-world bursts from mobile camera. The top-performing methods set a new state-of-the-art for the burst super-resolution task.
  arXiv  Detail & Related papers  (2021-06-07T17:55:28Z)
• Illumination Estimation Challenge: experience of past two years [57.13714732760851]
  The 2nd Illumination estimation challenge( IEC#2) was conducted. The challenge had several tracks: general, indoor, and two-illuminant with each of them focusing on different parameters of the scenes. Other main features of it are a new large dataset of images (about 5000) taken with the same camera sensor model, a manual markup accompanying each image, diverse content with scenes taken in numerous countries under a huge variety of illuminations extracted by using the SpyderCube calibration object, and a contest-like markup for the images from the Cube+ dataset that was used in IEC#1.
  arXiv  Detail & Related papers  (2020-12-31T17:59:19Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.