mlsanityData to 7 Oct 2026

GIQA: Generated Image Quality Assessment

arXiv 2003.08932 ↗First posted 19 Mar 2020eess.IV cs.CVcited by 51

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Abstract (arXiv)

Generative adversarial networks (GANs) have achieved impressive results today, but not all generated images are perfect. A number of quantitative criteria have recently emerged for generative model, but none of them are designed for a single generated image. In this paper, we propose a new research topic, Generated Image Quality Assessment (GIQA), which quantitatively evaluates the quality of each generated image. We introduce three GIQA algorithms from two perspectives: learning-based and data-based. We evaluate a number of images generated by various recent GAN models on different datasets and demonstrate that they are consistent with human assessments. Furthermore, GIQA is available to many applications, like separately evaluating the realism and diversity of generative models, and enabling online hard negative mining (OHEM) in the training of GANs to improve the results.

Key facts. Cited by 51 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Mar 2020.

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Citing papers per year: 2021: 9; 2022: 8; 2023: 11; 2024: 14; 2025: 6; 2026: 3.

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  1. 2021Vector Quantized Diffusion Model for Text-to-Image Synthesiscited by 773
  2. 2022Paint by Example: Exemplar-based Image Editing with Diffusion Modelscited by 489
  3. 2023InstructDiffusion: A Generalist Modeling Interface for Vision Taskscited by 162
  4. 2021StyleSwin: Transformer-based GAN for High-resolution Image Generationcited by 152
  5. 2023SyncDiffusion: Coherent Montage via Synchronized Joint Diffusionscited by 108
  6. 2021Face Forensics in the Wildcited by 87
  7. 2022Texturify: Generating Textures on 3D Shape Surfacescited by 65
  8. 2021Making Images Real Again: A Comprehensive Survey on Deep Image Compositioncited by 63
  9. 2022Improved Vector Quantized Diffusion Modelscited by 62
  10. 2023ControlCom: Controllable Image Composition using Diffusion Modelcited by 43
  11. 2021Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessmentcited by 41
  12. 2022StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesiscited by 38
38 more
  1. 2021High-Fidelity and Arbitrary Face Editingcited by 35
  2. 2022Detecting and Recovering Sequential DeepFake Manipulationcited by 34
  3. 2023Balancing the Picture: Debiasing Vision-Language Datasets with Synthetic Contrast Setscited by 27
  4. 2024SyncTweedies: A General Generative Framework Based on Synchronized Diffusionscited by 26
  5. 2023As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priorscited by 24
  6. 2024NTIRE 2024 Quality Assessment of AI-Generated Content Challengecited by 20
  7. 2024TGIF: Text-Guided Inpainting Forgery Datasetcited by 20
  8. 2025Generative Uncertainty in Diffusion Modelscited by 20
  9. 2023Towards Benchmarking and Assessing Visual Naturalness of Physical World Adversarial Attackscited by 18
  10. 2024A Survey on Quality Metrics for Text-to-Image Generationcited by 17
  11. 2022GAN-based Facial Attribute Manipulationcited by 16
  12. 2023Improving Synthetically Generated Image Detection in Cross-Concept Settingscited by 15
  13. 2024CLIP-AGIQA: Boosting the Performance of AI-Generated Image Quality Assessment with CLIPcited by 14
  14. 2021Assessing a Single Image in Reference-Guided Image Synthesiscited by 13
  15. 2023An Overview on Generative AI at Scale with Edge-Cloud Computingcited by 9
  16. 2024Merging and Splitting Diffusion Paths for Semantically Coherent Panoramascited by 9
  17. 2023Adaptive Feature Selection for No-Reference Image Quality Assessment by Mitigating Semantic Noise Sensitivitycited by 8
  18. 2025StochSync: Stochastic Diffusion Synchronization for Image Generation in Arbitrary Spacescited by 8
  19. 2025MVAR: Visual Autoregressive Modeling with Scale and Spatial Markovian Conditioningcited by 8
  20. 2022Generalized Visual Quality Assessment of GAN-Generated Face Imagescited by 5
  21. 2024Deep Shape-Texture Statistics for Completely Blind Image Quality Evaluationcited by 5
  22. 2021Blind VQA on 360deg Video via Progressively Learning from Pixels, Frames and Videocited by 4
  23. 2023Robust Sequential DeepFake Detectioncited by 4
  24. 2024Non-Reference Quality Assessment for Medical Imaging: Application to Synthetic Brain MRIscited by 4
  25. 2022Subjective Quality Assessment for Images Generated by Computer Graphicscited by 2
  26. 2023Controllable Multi-domain Semantic Artwork Synthesiscited by 2
  27. 2025Text Embedding Knows How to Quantize Text-Guided Diffusion Modelscited by 2
  28. 2026RL-ScanIQA: Reinforcement-Learned Scanpaths for Blind 360degImage Quality Assessmentcited by 2
  29. 2021Learning Transformer Features for Image Quality Assessmentcited by 1
  30. 2024Rank-based No-reference Quality Assessment for Face Swappingcited by 1
  31. 2024Guided and Variance-Corrected Fusion with One-shot Style Alignment for Large-Content Image Generationcited by 1
  32. 2025Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluationcited by 1
  33. 2024CTGAN: Semantic-guided Conditional Texture Generator for 3D Shapescited by 0
  34. 2024PKU-AIGIQA-4K: A Perceptual Quality Assessment Database for Both Text-to-Image and Image-to-Image AI-Generated Imagescited by 0
  35. 2024Sampling Strategies for Mitigating Bias in Face Synthesis Methodscited by 0
  36. 2024Several questions of visual generation in 2024cited by 0
  37. 2025DREAM: A Benchmark Study for Deepfake photoREalism AssessMentcited by 0
  38. 2026Inclusive Kitchen Design for Older Adults: Generative AI Visualizations to Support Mild Cognitive Impairmentcited by 0

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