NTIRE 2022 Challenge on Perceptual Image Quality Assessment
- URL: http://arxiv.org/abs/2206.11695v1
- Date: Thu, 23 Jun 2022 13:36:49 GMT
- Title: NTIRE 2022 Challenge on Perceptual Image Quality Assessment
- Authors: Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Radu Timofte
- Abstract summary: This paper reports on the NTIRE 2022 challenge on perceptual image quality assessment (IQA)
The challenge is held to address the emerging challenge of IQA by perceptual image processing algorithms.
The winning method can demonstrate state-of-the-art performance.
- Score: 90.04931572825859
- License: http://creativecommons.org/licenses/by/4.0/
- 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.
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