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Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics

arXiv 1909.12962 ↗First posted 27 Sep 2019cs.CR cs.CV eess.IVcited by 573

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Abstract (arXiv)

AI-synthesized face-swapping videos, commonly known as DeepFakes, is an emerging problem threatening the trustworthiness of online information. The need to develop and evaluate DeepFake detection algorithms calls for large-scale datasets. However, current DeepFake datasets suffer from low visual quality and do not resemble DeepFake videos circulated on the Internet. We present a new large-scale challenging DeepFake video dataset, Celeb-DF, which contains 5,639 high-quality DeepFake videos of celebrities generated using improved synthesis process. We conduct a comprehensive evaluation of DeepFake detection methods and datasets to demonstrate the escalated level of challenges posed by Celeb-DF.

Key facts. Cited by 573 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 Sep 2019.

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Citing papers per year: 2021: 64; 2022: 76; 2023: 90; 2024: 100; 2025: 136; 2026: 107.

573 papers.

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  1. 2021Multi-attentional Deepfake Detectioncited by 339
  2. 2022Detecting Deepfakes with Self-Blended Imagescited by 332
  3. 2023GenImage: A Million-Scale Benchmark for Detecting AI-Generated Imagecited by 318
  4. 2021Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domaincited by 241
  5. 2021WildDeepfake: A Challenging Real-World Dataset for Deepfake Detectioncited by 207
  6. 2023Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detectioncited by 180
  7. 2021FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Datasetcited by 179
  8. 2023Raising the Cost of Malicious AI-Powered Image Editingcited by 160
  9. 2021Exploring Temporal Coherence for More General Video Face Forgery Detectioncited by 158
  10. 2022Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detectioncited by 130
  11. 2021ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysiscited by 124
  12. 2022Implicit Identity Leakage: The Stumbling Block to Improving Deepfake Detection Generalizationcited by 122
38 more
  1. 2021M2TR: Multi-modal Multi-scale Transformers for Deepfake Detectioncited by 114
  2. 2021Representative Forgery Mining for Fake Face Detectioncited by 108
  3. 2021One Shot Face Swapping on Megapixelscited by 105
  4. 2021Local Relation Learning for Face Forgery Detectioncited by 100
  5. 2023TALL: Thumbnail Layout for Deepfake Video Detectioncited by 100
  6. 2023Detecting and Grounding Multi-Modal Media Manipulationcited by 98
  7. 2022Protecting Celebrities from DeepFake with Identity Consistency Transformercited by 95
  8. 2021Spatiotemporal Inconsistency Learning for DeepFake Video Detectioncited by 88
  9. 2022Fusing Global and Local Features for Generalized AI-Synthesized Image Detectioncited by 88
  10. 2021Face Forensics in the Wildcited by 87
  11. 2021Combining EfficientNet and Vision Transformers for Video Deepfake Detectioncited by 81
  12. 2021KoDF: A Large-scale Korean DeepFake Detection Datasetcited by 80
  13. 2023AV-Deepfake1M: A Large-Scale LLM-Driven Audio-Visual Deepfake Datasetcited by 79
  14. 2023AltFreezing for More General Video Face Forgery Detectioncited by 78
  15. 2022FrePGAN: Robust Deepfake Detection Using Frequency-level Perturbationscited by 75
  16. 2022CORE: Consistent Representation Learning for Face Forgery Detectioncited by 73
  17. 2022UIA-ViT: Unsupervised Inconsistency-Aware Method based on Vision Transformer for Face Forgery Detectioncited by 69
  18. 2024Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensicscited by 68
  19. 2023BlendFace: Re-designing Identity Encoders for Face-Swappingcited by 66
  20. 2024Deepfake Generation and Detection: A Benchmark and Surveycited by 66
  21. 2023AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectorscited by 64
  22. 2024Common Sense Reasoning for Deepfake Detectioncited by 64
  23. 2021BiHPF: Bilateral High-Pass Filters for Robust Deepfake Detectioncited by 60
  24. 2021Exploiting Fine-grained Face Forgery Clues via Progressive Enhancement Learningcited by 60
  25. 2024FFAA: Multimodal Large Language Model based Explainable Open-World Face Forgery Analysis Assistantcited by 59
  26. 2021Deepfake Detection by Human Crowds, Machines, and Machine-informed Crowdscited by 58
  27. 2021Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Imagescited by 58
  28. 2024Exploiting Style Latent Flows for Generalizing Deepfake Video Detectioncited by 58
  29. 2021Improving the Efficiency and Robustness of Deepfakes Detection through Precise Geometric Featurescited by 57
  30. 2021Countering Malicious DeepFakes: Survey, Battleground, and Horizoncited by 56
  31. 2023Detecting and Grounding Multi-Modal Media Manipulation and Beyondcited by 55
  32. 2023Multimodal Automated Fact-Checking: A Surveycited by 51
  33. 2021OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wildcited by 50
  34. 2023Beyond the Prior Forgery Knowledge: Mining Critical Clues for General Face Forgery Detectioncited by 50
  35. 2024Community Forensics: Using Thousands of Generators to Train Fake Image Detectorscited by 50
  36. 2022SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing Deepfakescited by 49
  37. 2022Deepfake Detection: A Comprehensive Survey from the Reliability Perspectivecited by 48
  38. 2024FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledgecited by 48

50 most cited of 573 All 573 (JSON)