mlsanityData to 7 Oct 2026

NTIRE 2021 Challenge on Perceptual Image Quality Assessment

arXiv 2105.03072 ↗First posted 7 May 2021eess.IV cs.CVcited by 18

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Abstract (arXiv)

This paper reports on the NTIRE 2021 challenge on perceptual image quality assessment (IQA), held in conjunction with the New Trends in Image Restoration and Enhancement workshop (NTIRE) workshop at CVPR 2021. As a new type of image processing technology, perceptual image processing algorithms based on Generative Adversarial Networks (GAN) have produced images with more realistic textures. These output images have completely different characteristics from traditional distortions, thus pose a new challenge for IQA methods to evaluate their visual quality. In comparison with previous IQA challenges, the training and testing datasets in this challenge include the outputs of perceptual image processing algorithms and the corresponding subjective scores. Thus they can be used to develop and evaluate IQA methods on GAN-based distortions. The challenge has 270 registered participants in total. In the final testing stage, 13 participating teams submitted their models and fact sheets. Almost all of them have achieved much better results than existing IQA methods, while the winning method can demonstrate state-of-the-art performance.

Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). Builds on 32 of its 61 references that are in the map. First posted on arXiv 7 May 2021.

Builds on

32 of 61 references.

References · 32

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Cited by year

Citing papers per year: 2021: 4; 2022: 12; 2023: 2.

18 papers.

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  1. 2022MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessmentcited by 514
  2. 2023TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality Assessmentcited by 220
  3. 2022NTIRE 2022 Challenge on Perceptual Image Quality Assessmentcited by 41
  4. 2021NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Resultscited by 36
  5. 2022PyTorch Image Quality: Metrics for Image Quality Assessmentcited by 34
  6. 2021NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Resultscited by 22
  7. 2022Evaluating the Generalization Ability of Super-Resolution Networkscited by 18
  8. 2023Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attackscited by 14
  9. 2022Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessmentcited by 12
  10. 2021Unravelling the Effect of Image Distortions for Biased Prediction of Pre-trained Face Recognition Modelscited by 11
  11. 2022MSTRIQ: No Reference Image Quality Assessment Based on Swin Transformer with Multi-Stage Fusioncited by 10
  12. 2021NTIRE 2021 Multi-modal Aerial View Object Classification Challengecited by 7
6 more
  1. 2022Conformer and Blind Noisy Students for Improved Image Quality Assessmentcited by 5
  2. 2022MAiVAR: Multimodal Audio-Image and Video Action Recognizercited by 3
  3. 2022Image Quality Assessment with Gradient Siamese Networkcited by 2
  4. 2022Content-Diverse Comparisons improve IQAcited by 2
  5. 2022Pixel-by-pixel Mean Opinion Score (pMOS) for No-Reference Image Quality Assessmentcited by 0
  6. 2022Continuous Facial Motion Deblurringcited by 0