mlsanityData to 7 Oct 2026

Synthetic Image Verification in the Era of Generative AI: What Works and What Isn't There Yet

arXiv 2405.00196 ↗First posted 30 Apr 2024cs.CVcited by 13

Not on the map. Why?

Abstract (arXiv)

In this work we present an overview of approaches for the detection and attribution of synthetic images and highlight their strengths and weaknesses. We also point out and discuss hot topics in this field and outline promising directions for future research.

Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). Builds on 67 of its 84 references that are in the map. First posted on arXiv 30 Apr 2024.

Builds on

67 of 84 references.

References · 67

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,456
  2. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  3. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,694
  4. 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 8,964
  5. 2021Diffusion Models Beat GANs on Image Synthesiscited by 8,185
  6. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,539
  7. 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 6,322
  8. 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 5,986
  9. 2022Scalable Diffusion Models with Transformerscited by 5,931
  10. 2023SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesiscited by 4,290
  11. 2021GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Modelscited by 3,595
  12. 2019Analyzing and Improving the Image Quality of StyleGANcited by 3,580
38 more
  1. 2017Progressive Growing of GANs for Improved Quality, Stability, and Variationcited by 2,967
  2. 2018Large Scale GAN Training for High Fidelity Natural Image Synthesiscited by 2,609
  3. 2022InstructPix2Pix: Learning to Follow Image Editing Instructionscited by 2,591
  4. 2021LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairscited by 1,544
  5. 2019Semantic Image Synthesis with Spatially-Adaptive Normalizationcited by 1,295
  6. 2021Efficient Geometry-aware 3D Generative Adversarial Networkscited by 1,204
  7. 2021Alias-Free Generative Adversarial Networkscited by 1,181
  8. 2017StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translationcited by 1,036
  9. 2022eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoiserscited by 921
  10. 2019CNN-generated images are surprisingly easy to spot... for nowcited by 842
  11. 2020Leveraging Frequency Analysis for Deep Fake Image Recognitioncited by 501
  12. 2023Scaling up GANs for Text-to-Image Synthesiscited by 492
  13. 2023Towards Universal Fake Image Detectors that Generalize Across Generative Modelscited by 483
  14. 2023DIRE for Diffusion-Generated Image Detectioncited by 386
  15. 2021Open-Set Recognition: a Good Closed-Set Classifier is All You Need?cited by 351
  16. 2023GenImage: A Million-Scale Benchmark for Detecting AI-Generated Imagecited by 318
  17. 2019Detecting and Simulating Artifacts in GAN Fake Imagescited by 293
  18. 2022On the detection of synthetic images generated by diffusion modelscited by 282
  19. 2020Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributionscited by 278
  20. 2020What makes fake images detectable? Understanding properties that generalizecited by 272
  21. 2023StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesiscited by 212
  22. 2022Diffusion-GAN: Training GANs with Diffusioncited by 203
  23. 2018Do GANs leave artificial fingerprints?cited by 188
  24. 2023Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detectioncited by 180
  25. 2022DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Modelscited by 167
  26. 2023Raising the Bar of AI-generated Image Detection with CLIPcited by 163
  27. 2021Are GAN generated images easy to detect? A critical analysis of the state-of-the-artcited by 139
  28. 2023Intriguing properties of synthetic images: from generative adversarial networks to diffusion modelscited by 121
  29. 2022Towards the Detection of Diffusion Model Deepfakescited by 111
  30. 2018ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detectioncited by 104
  31. 2023Identifying and Mitigating the Security Risks of Generative AIcited by 90
  32. 2022Fusing Global and Local Features for Generalized AI-Synthesized Image Detectioncited by 88
  33. 2023GALIP: Generative Adversarial CLIPs for Text-to-Image Synthesiscited by 84
  34. 2023CIFAKE: Image Classification and Explainable Identification of AI-Generated Synthetic Imagescited by 84
  35. 2021Towards Discovery and Attribution of Open-world GAN Generated Imagescited by 66
  36. 2023Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry...for nowcited by 61
  37. 2019Incremental learning for the detection and classification of GAN-generated imagescited by 58
  38. 2021Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Imagescited by 58

50 most cited of 67 All 67 (JSON)

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 6; 2025: 4; 2026: 3.

13 papers.

Sort:

By area: