mlsanityData to 7 Oct 2026

AIGCIQA2023: A Large-scale Image Quality Assessment Database for AI Generated Images: from the Perspectives of Quality, Authenticity and Correspondence

arXiv 2307.00211 ↗First posted 1 Jul 2023cs.CV eess.IVcited by 61

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Abstract (arXiv)

In this paper, in order to get a better understanding of the human visual preferences for AIGIs, a large-scale IQA database for AIGC is established, which is named as AIGCIQA2023. We first generate over 2000 images based on 6 state-of-the-art text-to-image generation models using 100 prompts. Based on these images, a well-organized subjective experiment is conducted to assess the human visual preferences for each image from three perspectives including quality, authenticity and correspondence. Finally, based on this large-scale database, we conduct a benchmark experiment to evaluate the performance of several state-of-the-art IQA metrics on our constructed database.

Key facts. Cited by 61 papers in the map (data through 7 Oct 2026). Builds on 22 of its 35 references that are in the map. First posted on arXiv 1 Jul 2023.

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22 of 35 references.

References · 22

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  3. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  4. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,267
  5. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,539
  6. 2022Generative Adversarial Networkscited by 5,603
  7. 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 5,466
  8. 2022BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generationcited by 4,310
  9. 2013Auto-Encoding Variational Bayescited by 3,980
  10. 2021GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Modelscited by 3,595
  11. 2017Improved Training of Wasserstein GANscited by 2,223
  12. 2022Scaling Autoregressive Models for Content-Rich Text-to-Image Generationcited by 1,287
10 more
  1. 2023ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generationcited by 1,010
  2. 2023Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generationcited by 950
  3. 2023Aligning Text-to-Image Models using Human Feedbackcited by 418
  4. 2016Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessmentcited by 224
  5. 2023One Transformer Fits All Distributions in Multi-Modal Diffusion at Scalecited by 185
  6. 2021LAFITE: Towards Language-Free Training for Text-to-Image Generationcited by 126
  7. 2022Perceptual Quality Assessment of Omnidirectional Imagescited by 34
  8. 2022Confusing Image Quality Assessment: Towards Better Augmented Reality Experiencecited by 32
  9. 2022Saliency in Augmented Realitycited by 17
  10. 2023Masked Autoencoders as Image Processorscited by 8

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 4; 2024: 24; 2025: 19; 2026: 14.

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  1. 2025Teaching Large Language Models to Regress Accurate Image Quality Scores using Score Distributioncited by 139
  2. 2024AIGIQA-20K: A Large Database for AI-Generated Image Quality Assessmentcited by 33
  3. 2024Quality Assessment in the Era of Large Models: A Surveycited by 26
  4. 2024AIGV-Assessor: Benchmarking and Evaluating the Perceptual Quality of Text-to-Video Generation with LMMcited by 24
  5. 2023Exploring the Naturalness of AI-Generated Imagescited by 22
  6. 2025LMM4Edit: Benchmarking and Evaluating Multimodal Image Editing with LMMscited by 22
  7. 2024Q-Refine: A Perceptual Quality Refiner for AI-Generated Imagecited by 21
  8. 2024NTIRE 2024 Quality Assessment of AI-Generated Content Challengecited by 20
  9. 2024AIGCOIQA2024: Perceptual Quality Assessment of AI Generated Omnidirectional Imagescited by 16
  10. 2024Video Quality Assessment: A Comprehensive Surveycited by 15
  11. 2023PKU-I2IQA: An Image-to-Image Quality Assessment Database for AI Generated Imagescited by 14
  12. 2024PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality Assessment via Promptscited by 14
38 more
  1. 2024CLIP-AGIQA: Boosting the Performance of AI-Generated Image Quality Assessment with CLIPcited by 14
  2. 2024VisualCritic: Making LMMs Perceive Visual Quality Like Humanscited by 13
  3. 2024Quality Assessment for AI Generated Images with Instruction Tuningcited by 13
  4. 2025AGHI-QA: A Subjective-Aligned Dataset and Metric for AI-Generated Human Imagescited by 13
  5. 2024Opinion-Unaware Blind Image Quality Assessment using Multi-Scale Deep Feature Statisticscited by 11
  6. 2023PSCR: Patches Sampling-based Contrastive Regression for AIGC Image Quality Assessmentcited by 10
  7. 2024Adaptive Mixed-Scale Feature Fusion Network for Blind AI-Generated Image Quality Assessmentcited by 10
  8. 2024F-Bench: Rethinking Human Preference Evaluation Metrics for Benchmarking Face Generation, Customization, and Restorationcited by 10
  9. 2024Vision-Language Consistency Guided Multi-modal Prompt Learning for Blind AI Generated Image Quality Assessmentcited by 9
  10. 2025NTIRE 2025 challenge on Text to Image Generation Model Quality Assessmentcited by 8
  11. 2023Audio-visual Saliency for Omnidirectional Videoscited by 7
  12. 2024TIER: Text-Image Encoder-based Regression for AIGC Image Quality Assessmentcited by 7
  13. 2025LMME3DHF: Benchmarking and Evaluating Multimodal 3D Human Face Generation with LMMscited by 7
  14. 2025DFBench: Benchmarking Deepfake Image Detection Capability of Large Multimodal Modelscited by 7
  15. 2025POET: Supporting Prompting Creativity and Personalization with Automated Expansion of Text-to-Image Generationcited by 6
  16. 2025Text-Visual Semantic Constrained AI-Generated Image Quality Assessmentcited by 6
  17. 2025AEGIS: Authenticity Evaluation Benchmark for AI-Generated Video Sequencescited by 6
  18. 2024AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similaritycited by 5
  19. 2025TIT-Score: Evaluating Long-Prompt Based Text-to-Image Alignment via Text-to-Image-to-Text Consistencycited by 4
  20. 2026Decoupling Semantics from Distortions: Multi-Scale Two-Stream Vision-Language Alignment for AI-Generated Image Quality Assessmentcited by 4
  21. 2024Image and Video Quality Assessment using Prompt-Guided Latent Diffusion Models for Cross-Dataset Generalizationcited by 3
  22. 2024Quality Prediction of AI Generated Images and Videos: Emerging Trends and Opportunitiescited by 3
  23. 2025Q-Save: Towards Scoring and Attribution for Generated Video Evaluationcited by 3
  24. 2026Evaluating Image Editing with LLMs: A Comprehensive Benchmark and Intermediate-Layer Probing Approachcited by 3
  25. 2024MVBIND: Self-Supervised Music Recommendation For Videos Via Embedding Space Bindingcited by 2
  26. 2024Quality-guided Skin Tone Enhancement for Portrait Photographycited by 2
  27. 2025M3-AGIQA: Multimodal, Multi-Round, Multi-Aspect AI-Generated Image Quality Assessmentcited by 2
  28. 2025Towards Explainable Partial-AIGC Image Quality Assessmentcited by 2
  29. 2025Quality Assessment and Distortion-aware Saliency Prediction for AI-Generated Omnidirectional Imagescited by 2
  30. 2025Plug In, Grade Right: Psychology-Inspired AGIQAcited by 2
  31. 2026From Global to Granular: Revealing IQA Model Performance via Correlation Surfacecited by 2
  32. 2024D-Judge: How Far Are We? Assessing the Discrepancies Between AI-synthesized and Natural Images through Multimodal Guidancecited by 1
  33. 2025RAISE: Realness Assessment for Image Synthesis and Evaluationcited by 1
  34. 2026ELIQ: A Label-Free Framework for Quality Assessment of Evolving AI-Generated Imagescited by 1
  35. 2024AAPMT: AGI Assessment Through Prompt and Metric Transformercited by 0
  36. 2024PKU-AIGIQA-4K: A Perceptual Quality Assessment Database for Both Text-to-Image and Image-to-Image AI-Generated Imagescited by 0
  37. 2025Hierarchical Fusion and Joint Aggregation: A Multi-Level Feature Representation Method for AIGC Image Quality Assessmentcited by 0
  38. 2025Image Realness Assessment and Localization with Multimodal Featurescited by 0

50 most cited of 61 All 61 (JSON)