mlsanityData to 7 Oct 2026

KonIQ-10k: An ecologically valid database for deep learning of blind image quality assessment

arXiv 1910.06180 ↗First posted 14 Oct 2019cs.CV cs.MMcited by 351

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Cited by 51 in Multimodal LLMs / vision-language models, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Deep learning methods for image quality assessment (IQA) are limited due to the small size of existing datasets. Extensive datasets require substantial resources both for generating publishable content and annotating it accurately. We present a systematic and scalable approach to creating KonIQ-10k, the largest IQA dataset to date, consisting of 10,073 quality scored images. It is the first in-the-wild database aiming for ecological validity, concerning the authenticity of distortions, the diversity of content, and quality-related indicators. Through the use of crowdsourcing, we obtained 1.2 million reliable quality ratings from 1,459 crowd workers, paving the way for more general IQA models. We propose a novel, deep learning model (KonCept512), to show an excellent generalization beyond the test set (0.921 SROCC), to the current state-of-the-art database LIVE-in-the-Wild (0.825 SROCC). The model derives its core performance from the InceptionResNet architecture, being trained at a higher resolution than previous models (512x384). Correlation analysis shows that KonCept512 performs similar to having 9 subjective scores for each test image.

Key facts. Cited by 351 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Oct 2019.

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Citing papers per year: 2021: 20; 2022: 37; 2023: 52; 2024: 93; 2025: 91; 2026: 58.

351 papers.

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  1. 2023MMBench: Is Your Multi-modal Model an All-around Player?cited by 2,105
  2. 2021MUSIQ: Multi-scale Image Quality Transformercited by 1,058
  3. 2022Exploring CLIP for Assessing the Look and Feel of Imagescited by 974
  4. 2022Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectivescited by 314
  5. 2023Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspectivecited by 276
  6. 2023Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Visioncited by 247
  7. 2023TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality Assessmentcited by 220
  8. 2023FreeU: Free Lunch in Diffusion U-Netcited by 195
  9. 2022FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Samplingcited by 179
  10. 2021No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistencycited by 165
  11. 2023Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Modelscited by 152
  12. 2023AGIQA-3K: An Open Database for AI-Generated Image Quality Assessmentcited by 142
38 more
  1. 2025Teaching Large Language Models to Regress Accurate Image Quality Scores using Score Distributioncited by 139
  2. 2022A Deep Learning based No-reference Quality Assessment Model for UGC Videoscited by 128
  3. 2021RAPIQUE: Rapid and Accurate Video Quality Prediction of User Generated Contentcited by 100
  4. 2021Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion Perceptioncited by 97
  5. 2023Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wildcited by 97
  6. 2021Image Quality Assessment using Contrastive Learningcited by 95
  7. 2024Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performancecited by 94
  8. 2025Q-Insight: Understanding Image Quality via Visual Reinforcement Learningcited by 93
  9. 2024X-Portrait: Expressive Portrait Animation with Hierarchical Motion Attentioncited by 88
  10. 2024Towards Open-ended Visual Quality Comparisoncited by 85
  11. 2025VisualQuality-R1: Reasoning-Induced Image Quality Assessment via Reinforcement Learning to Rankcited by 77
  12. 2023Content-based Unrestricted Adversarial Attackcited by 73
  13. 2024Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Comparecited by 66
  14. 2023VILA: Learning Image Aesthetics from User Comments with Vision-Language Pretrainingcited by 63
  15. 2024AesBench: An Expert Benchmark for Multimodal Large Language Models on Image Aesthetics Perceptioncited by 63
  16. 2022Personalized Image Aesthetics Assessment with Rich Attributescited by 56
  17. 2021Perceptual Image Quality Assessment with Transformerscited by 54
  18. 2023A Perceptual Quality Assessment Exploration for AIGC Imagescited by 54
  19. 2022Neighbourhood Representative Sampling for Efficient End-to-end Video Quality Assessmentcited by 50
  20. 2023Data-Efficient Image Quality Assessment with Attention-Panel Decodercited by 49
  21. 2023Towards Explainable In-the-Wild Video Quality Assessment: A Database and a Language-Prompted Approachcited by 45
  22. 2022DisCoVQA: Temporal Distortion-Content Transformers for Video Quality Assessmentcited by 41
  23. 2024XPSR: Cross-modal Priors for Diffusion-based Image Super-Resolutioncited by 41
  24. 2023Analysis of Video Quality Datasets via Design of Minimalistic Video Quality Modelscited by 38
  25. 2024Enhancing Descriptive Image Quality Assessment with A Large-scale Multi-modal Datasetcited by 38
  26. 2021Continual Learning for Blind Image Quality Assessmentcited by 36
  27. 2025ArtiMuse: Fine-Grained Image Aesthetics Assessment with Joint Scoring and Expert-Level Understandingcited by 36
  28. 2024Parrot: Pareto-optimal Multi-Reward Reinforcement Learning Framework for Text-to-Image Generationcited by 35
  29. 2022PyTorch Image Quality: Metrics for Image Quality Assessmentcited by 34
  30. 2022Confusing Image Quality Assessment: Towards Better Augmented Reality Experiencecited by 32
  31. 2024Quality-Aware Image-Text Alignment for Opinion-Unaware Image Quality Assessmentcited by 31
  32. 2022Perceptual Attacks of No-Reference Image Quality Models with Human-in-the-Loopcited by 30
  33. 2022Green Learning: Introduction, Examples and Outlookcited by 30
  34. 2024GAIA: Rethinking Action Quality Assessment for AI-Generated Videoscited by 30
  35. 2024NTIRE 2024 Challenge on Short-form UGC Video Quality Assessment: Methods and Resultscited by 29
  36. 2024LMM-VQA: Advancing Video Quality Assessment with Large Multimodal Modelscited by 28
  37. 2022Video compression dataset and benchmark of learning-based video-quality metricscited by 27
  38. 2024Quality Assessment in the Era of Large Models: A Surveycited by 26

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