Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey

• URL: http://arxiv.org/abs/2404.16223v1
• Date: Wed, 24 Apr 2024 21:51:01 GMT
• Title: Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey
• Authors: Marcos V. Conde, Florin-Alexandru Vasluianu, Radu Timofte, Jianxing Zhang, Jia Li, Fan Wang, Xiaopeng Li, Zikun Liu, Hyunhee Park, Sejun Song, Changho Kim, Zhijuan Huang, Hongyuan Yu, Cheng Wan, Wending Xiang, Jiamin Lin, Hang Zhong, Qiaosong Zhang, Yue Sun, Xuanwu Yin, Kunlong Zuo, Senyan Xu, Siyuan Jiang, Zhijing Sun, Jiaying Zhu, Liangyan Li, Ke Chen, Yunzhe Li, Yimo Ning, Guanhua Zhao, Jun Chen, Jinyang Yu, Kele Xu, Qisheng Xu, Yong Dou,
• Abstract summary: This paper reviews the NTIRE 2024 RAW Image Super-Resolution Challenge, highlighting the proposed solutions and results. The goal of this challenge is to upscale RAW Bayer images by 2x, considering unknown degradations such as noise and blur.
• Score: 65.2234198408208
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: This paper reviews the NTIRE 2024 RAW Image Super-Resolution Challenge, highlighting the proposed solutions and results. New methods for RAW Super-Resolution could be essential in modern Image Signal Processing (ISP) pipelines, however, this problem is not as explored as in the RGB domain. Th goal of this challenge is to upscale RAW Bayer images by 2x, considering unknown degradations such as noise and blur. In the challenge, a total of 230 participants registered, and 45 submitted results during thee challenge period. The performance of the top-5 submissions is reviewed and provided here as a gauge for the current state-of-the-art in RAW Image Super-Resolution.

Related papers

• NTIRE 2024 Challenge on Night Photography Rendering [85.05686186795512]
  The goal of the challenge was to find solutions that process raw camera images taken in nighttime conditions. The speed of algorithms was also measured alongside the quality of their output. The top ranking participants' solutions effectively represent the state-of-the-art in nighttime photography rendering.
  arXiv  Detail & Related papers  (2024-06-18T18:56:25Z)
• 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)
• NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results [240.4967106943687]
  This paper reviews the NTIRE 2020 challenge on perceptual extreme super-resolution. The challenge task was to super-resolve an input image with a magnification factor 16. The track had 280 registered participants, and 19 teams submitted the final results.
  arXiv  Detail & Related papers  (2020-05-03T11:30:51Z)

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.