mlsanityData to 14 Oct 2026

NTIRE 2022 Challenge on Perceptual Image Quality Assessment

arXiv 2206.11695 ↗First posted 23 Jun 2022cs.CV eess.IVcited by 41

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Abstract (arXiv)

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.

Key facts. Cited by 41 papers in the map (data through 14 Oct 2026). Builds on 45 of its 78 references that are in the map. First posted on arXiv 23 Jun 2022.

Builds on

45 of 78 references.

References · 45

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  2. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
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33 more
  1. 2021Resolution-robust Large Mask Inpainting with Fourier Convolutionscited by 738
  2. 2017The Perception-Distortion Tradeoffcited by 587
  3. 2022MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessmentcited by 522
  4. 2019Res2Net: A New Multi-scale Backbone Architecturecited by 470
  5. 2017NIMA: Neural Image Assessmentcited by 389
  6. 2018Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transformcited by 371
  7. 2019Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Networkcited by 302
  8. 2016Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessmentcited by 225
  9. 2020PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restorationcited by 178
  10. 2021No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistencycited by 166
  11. 2018PieAPP: Perceptual Image-Error Assessment through Pairwise Preferencecited by 160
  12. 2019RankSRGAN: Generative Adversarial Networks with Ranker for Image Super-Resolutioncited by 145
  13. 2016Learning a No-Reference Quality Metric for Single-Image Super-Resolutioncited by 144
  14. 2020MetaIQA: Deep Meta-learning for No-Reference Image Quality Assessmentcited by 144
  15. 2022Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Networkcited by 57
  16. 2020Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessmentcited by 54
  17. 2021Perceptual Image Quality Assessment with Transformerscited by 54
  18. 2018Hallucinated-IQA: No-Reference Image Quality Assessment via Adversarial Learningcited by 49
  19. 2021Efficient conformer: Progressive downsampling and grouped attention for automatic speech recognitioncited by 42
  20. 2022NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Resultscited by 40
  21. 2016On the Use of Deep Learning for Blind Image Quality Assessmentcited by 34
  22. 2020Image Quality Assessment for Perceptual Image Restoration: A New Dataset, Benchmark and Metriccited by 26
  23. 2022NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Resultscited by 20
  24. 2021NTIRE 2021 Challenge on Perceptual Image Quality Assessmentcited by 18
  25. 2021Toward Interactive Modulation for Photo-Realistic Image Restorationcited by 15
  26. 2019Learning to Blindly Assess Image Quality in the Laboratory and Wildcited by 14
  27. 2021Region-Adaptive Deformable Network for Image Quality Assessmentcited by 14
  28. 2022NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Resultscited by 12
  29. 2022NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Resultscited by 10
  30. 2021(ASNA) An Attention-based Siamese-Difference Neural Network with Surrogate Ranking Loss function for Perceptual Image Quality Assessmentcited by 7
  31. 2022Conformer and Blind Noisy Students for Improved Image Quality Assessmentcited by 5
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Citing papers per year: 2022: 5; 2023: 18; 2024: 10; 2025: 6; 2026: 2.

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  1. 2024Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wildcited by 286
  2. 2023TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality Assessmentcited by 226
  3. 2022Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restorationcited by 73
  4. 2024AddSR: Accelerating Diffusion-based Blind Super-Resolution with Adversarial Diffusion Distillationcited by 66
  5. 2025SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Trainingcited by 50
  6. 2023DocDiff: Document Enhancement via Residual Diffusion Modelscited by 37
  7. 2023SPIRE: Semantic Prompt-Driven Image Restorationcited by 24
  8. 2023Exploring the Naturalness of AI-Generated Imagescited by 22
  9. 2022Perceptual Image Enhancement for Smartphone Real-Time Applicationscited by 18
  10. 2023Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessmentcited by 17
  11. 2024Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifactscited by 16
  12. 2023Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attackscited by 14
29 more
  1. 2024IDF-CR: Iterative Diffusion Process for Divide-and-Conquer Cloud Removal in Remote-sensing Imagescited by 13
  2. 2025Image Quality Assessment: From Human to Machine Preferencecited by 12
  3. 2025Vivid-VR: Distilling Concepts from Text-to-Video Diffusion Transformer for Photorealistic Video Restorationcited by 10
  4. 2024Text-guided Explorable Image Super-resolutioncited by 9
  5. 2024CMC-Bench: Towards a New Paradigm of Visual Signal Compressioncited by 6
  6. 2022Real-Time Under-Display Cameras Image Restoration and HDR on Mobile Devicescited by 5
  7. 2023Simple Baselines for Projection-based Full-reference and No-reference Point Cloud Quality Assessmentcited by 5
  8. 2024AIM 2024 Challenge on UHD Blind Photo Quality Assessmentcited by 5
  9. 2024AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and Resultscited by 4
  10. 2022Super-Resolution by Predicting Offsets: An Ultra-Efficient Super-Resolution Network for Rasterized Imagescited by 3
  11. 2023Learning Data-Driven Vector-Quantized Degradation Model for Animation Video Super-Resolutioncited by 3
  12. 2023Guided Frequency Loss for Image Restorationcited by 3
  13. 2023Personalized Restoration via Dual-Pivot Tuningcited by 3
  14. 2024Sagiri: Low Dynamic Range Image Enhancement with Generative Diffusion Priorcited by 3
  15. 2025SparseGS-W: Sparse-View 3D Gaussian Splatting in the Wild with Generative Priorscited by 3
  16. 2022Image Quality Assessment with Gradient Siamese Networkcited by 2
  17. 2023Regression-free Blind Image Quality Assessment with Content-Distortion Consistencycited by 2
  18. 2023StarSRGAN: Improving Real-World Blind Super-Resolutioncited by 2
  19. 2023Blind CT Image Quality Assessment Using DDPM-derived Content and Transformer-based Evaluatorcited by 2
  20. 2023Tell Me What You See: Text-Guided Real-World Image Denoisingcited by 2
  21. 2024PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-Resolutioncited by 2
  22. 2025DarkDiff: Advancing Low-Light Raw Enhancement by Retasking Diffusion Models for Camera ISPcited by 2
  23. 2023From Local Binary Patterns to Pixel Difference Networks for Efficient Visual Representation Learningcited by 1
  24. 2023Black-box Attacks on Image Activity Prediction and its Natural Language Explanationscited by 1
  25. 2025CleanMAP: Distilling Multimodal LLMs for Confidence-Driven Crowdsourced HD Map Updatescited by 1
  26. 2026Position: Evaluation of Visual Processing Should Be Human-Centered, Not Metric-Centeredcited by 1
  27. 2026VARestorer: One-Step VAR Distillation for Real-World Image Super-Resolutioncited by 1
  28. 2023Deep learning techniques for blind image super-resolution: A high-scale multi-domain perspective evaluationcited by 0
  29. 2023Academic competitionscited by 0