mlsanityData to 7 Oct 2026

From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality

arXiv 1912.10088 ↗First posted 20 Dec 2019cs.CV cs.MM eess.IVcited by 221

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Abstract (arXiv)

Blind or no-reference (NR) perceptual picture quality prediction is a difficult, unsolved problem of great consequence to the social and streaming media industries that impacts billions of viewers daily. Unfortunately, popular NR prediction models perform poorly on real-world distorted pictures. To advance progress on this problem, we introduce the largest (by far) subjective picture quality database, containing about 40000 real-world distorted pictures and 120000 patches, on which we collected about 4M human judgments of picture quality. Using these picture and patch quality labels, we built deep region-based architectures that learn to produce state-of-the-art global picture quality predictions as well as useful local picture quality maps. Our innovations include picture quality prediction architectures that produce global-to-local inferences as well as local-to-global inferences (via feedback).

Key facts. Cited by 221 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Dec 2019.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 16; 2022: 24; 2023: 40; 2024: 70; 2025: 42; 2026: 29.

221 papers.

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  1. 2021MUSIQ: Multi-scale Image Quality Transformercited by 1,058
  2. 2022MANIQA: Multi-dimension Attention Network for No-Reference Image Quality Assessmentcited by 514
  3. 2022Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectivescited by 314
  4. 2023Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspectivecited by 276
  5. 2023Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Visioncited by 247
  6. 2023TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality Assessmentcited by 220
  7. 2022FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Samplingcited by 179
  8. 2021No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistencycited by 165
  9. 2023Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Modelscited by 152
  10. 2023AGIQA-3K: An Open Database for AI-Generated Image Quality Assessmentcited by 142
  11. 2025Teaching Large Language Models to Regress Accurate Image Quality Scores using Score Distributioncited by 139
  12. 2021RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Contentcited by 100
38 more
  1. 2021Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion Perceptioncited by 97
  2. 2023Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wildcited by 97
  3. 2021Image Quality Assessment using Contrastive Learningcited by 95
  4. 2023ARNIQA: Learning Distortion Manifold for Image Quality Assessmentcited by 87
  5. 2024Towards Open-ended Visual Quality Comparisoncited by 85
  6. 2023Contrastive Semi-supervised Learning for Underwater Image Restoration via Reliable Bankcited by 68
  7. 2024Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Comparecited by 66
  8. 2023VILA: Learning Image Aesthetics from User Comments with Vision-Language Pretrainingcited by 63
  9. 2023A Perceptual Quality Assessment Exploration for AIGC Imagescited by 54
  10. 2022Neighbourhood Representative Sampling for Efficient End-to-end Video Quality Assessmentcited by 50
  11. 2023Data-Efficient Image Quality Assessment with Attention-Panel Decodercited by 49
  12. 2023Towards Explainable In-the-Wild Video Quality Assessment: A Database and a Language-Prompted Approachcited by 45
  13. 2024A Comprehensive Study of Multimodal Large Language Models for Image Quality Assessmentcited by 43
  14. 2022DisCoVQA: Temporal Distortion-Content Transformers for Video Quality Assessmentcited by 41
  15. 2024A-Bench: Are LMMs Masters at Evaluating AI-generated Images?cited by 39
  16. 2023Analysis of Video Quality Datasets via Design of Minimalistic Video Quality Modelscited by 38
  17. 2021Continual Learning for Blind Image Quality Assessmentcited by 36
  18. 2024Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generationcited by 35
  19. 2022PyTorch Image Quality: Metrics for Image Quality Assessmentcited by 34
  20. 2025Every SAM Drop Counts: Embracing Semantic Priors for Multi-Modality Image Fusion and Beyondcited by 34
  21. 2024Quality-Aware Image-Text Alignment for Opinion-Unaware Image Quality Assessmentcited by 31
  22. 2024FaithDiff: Unleashing Diffusion Priors for Faithful Image Super-resolutioncited by 31
  23. 2022Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loopcited by 30
  24. 2024LMM-VQA: Advancing Video Quality Assessment with Large Multimodal Modelscited by 28
  25. 2022Video compression dataset and benchmark of learning-based video-quality metricscited by 27
  26. 2022Quality Assessment of Image Super-Resolution: Balancing Deterministic and Statistical Fidelitycited by 24
  27. 2023Exploring Opinion-unaware Video Quality Assessment with Semantic Affinity Criterioncited by 23
  28. 2023Exploring the Naturalness of AI-Generated Imagescited by 22
  29. 2024Q-Refine: A Perceptual Quality Refiner for AI-Generated Imagecited by 21
  30. 2024Similarity and Quality Metrics for MR Image-To-Image Translationcited by 20
  31. 2025UltraFusion: Ultra High Dynamic Imaging using Exposure Fusioncited by 20
  32. 2023Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attackscited by 18
  33. 2022Universal Perturbation Attack on Differentiable No-Reference Image- and Video-Quality Metricscited by 17
  34. 2023Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessmentcited by 17
  35. 2024DSL-FIQA: Assessing Facial Image Quality via Dual-Set Degradation Learning and Landmark-Guided Transformercited by 17
  36. 2023Towards Robust Text-Prompted Semantic Criterion for In-the-Wild Video Quality Assessmentcited by 16
  37. 2024UHD-IQA Benchmark Database: Pushing the Boundaries of Blind Photo Quality Assessmentcited by 16
  38. 2023Quality-aware Pre-trained Models for Blind Image Quality Assessmentcited by 15

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