mlsanityData to 7 Oct 2026

DeepFaceLab: Integrated, flexible and extensible face-swapping framework

arXiv 2005.05535 ↗First posted 12 May 2020cs.CV cs.LG cs.MMcited by 129

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Abstract (arXiv)

Deepfake defense not only requires the research of detection but also requires the efforts of generation methods. However, current deepfake methods suffer the effects of obscure workflow and poor performance. To solve this problem, we present DeepFaceLab, the current dominant deepfake framework for face-swapping. It provides the necessary tools as well as an easy-to-use way to conduct high-quality face-swapping. It also offers a flexible and loose coupling structure for people who need to strengthen their pipeline with other features without writing complicated boilerplate code. We detail the principles that drive the implementation of DeepFaceLab and introduce its pipeline, through which every aspect of the pipeline can be modified painlessly by users to achieve their customization purpose. It is noteworthy that DeepFaceLab could achieve cinema-quality results with high fidelity. We demonstrate the advantage of our system by comparing our approach with other face-swapping methods.For more information, please visit:https://github.com/iperov/DeepFaceLab/.

Key facts. Cited by 129 papers in the map (data through 7 Oct 2026). First posted on arXiv 12 May 2020.

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Citing papers per year: 2021: 3; 2022: 29; 2023: 24; 2024: 28; 2025: 27; 2026: 18.

129 papers.

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  1. 2022DiffFace: Diffusion-based Face Swapping with Facial Guidancecited by 77
  2. 2024Deepfake Generation and Detection: A Benchmark and Surveycited by 66
  3. 2024AVFF: Audio-Visual Feature Fusion for Video Deepfake Detectioncited by 59
  4. 2023FaceStudio: Put Your Face Everywhere in Secondscited by 53
  5. 2023StyleAvatar: Real-time Photo-realistic Portrait Avatar from a Single Videocited by 52
  6. 2023LatentAvatar: Learning Latent Expression Code for Expressive Neural Head Avatarcited by 50
  7. 2022Deepfake Detection: A Comprehensive Survey from the Reliability Perspectivecited by 48
  8. 2024FreqBlender: Enhancing DeepFake Detection by Blending Frequency Knowledgecited by 48
  9. 2022StyleSwap: Style-Based Generator Empowers Robust Face Swappingcited by 39
  10. 2023UMMAFormer: A Universal Multimodal-adaptive Transformer Framework for Temporal Forgery Localizationcited by 33
  11. 2023FaceXHuBERT: Text-less Speech-driven E(X)pressive 3D Facial Animation Synthesis Using Self-Supervised Speech Representation Learningcited by 29
  12. 2024DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysiscited by 29
38 more
  1. 2021Neural Emotion Director: Speech-preserving semantic control of facial expressions in "in-the-wild" videoscited by 28
  2. 2022Discovering Transferable Forensic Features for CNN-generated Images Detectioncited by 24
  3. 2024CharacterFactory: Sampling Consistent Characters with GANs for Diffusion Modelscited by 24
  4. 2022MINTIME: Multi-Identity Size-Invariant Video Deepfake Detectioncited by 23
  5. 2024LampMark: Proactive Deepfake Detection via Training-Free Landmark Perceptual Watermarkscited by 21
  6. 2022Few-Shot Head Swapping in the Wildcited by 20
  7. 2022Deep Convolutional Pooling Transformer for Deepfake Detectioncited by 19
  8. 2022Model Attribution of Face-swap Deepfake Videoscited by 17
  9. 2023Detecting Deepfakes Without Seeing Anycited by 17
  10. 2021Deep Person Generation: A Survey from the Perspective of Face, Pose and Cloth Synthesiscited by 16
  11. 2022Human Detection of Political Speech Deepfakes across Transcripts, Audio, and Videocited by 16
  12. 2022GAN-based Facial Attribute Manipulationcited by 16
  13. 2023MMNet: Multi-Collaboration and Multi-Supervision Network for Sequential Deepfake Detectioncited by 15
  14. 2024Exposing Lip-syncing Deepfakes from Mouth Inconsistenciescited by 15
  15. 2025PVChat: Personalized Video Chat with One-Shot Learningcited by 13
  16. 2022HS-Diffusion: Semantic-Mixing Diffusion for Head Swappingcited by 12
  17. 2024GeneAvatar: Generic Expression-Aware Volumetric Head Avatar Editing from a Single Imagecited by 12
  18. 2022Delving into High-Quality Synthetic Face Occlusion Segmentation Datasetscited by 11
  19. 2024Learning to Discover Forgery Cues for Face Forgery Detectioncited by 11
  20. 2025TalkingHeadBench: A Multi-Modal Benchmark & Analysis of Talking-Head DeepFake Detectioncited by 10
  21. 2022Revisiting Self-Supervised Contrastive Learning for Facial Expression Recognitioncited by 9
  22. 2023Multimodal-driven Talking Face Generation via a Unified Diffusion-based Generatorcited by 9
  23. 2025OpenFake: An Open Dataset and Platform Toward Real-World Deepfake Detectioncited by 9
  24. 2023Disguise without Disruption: Utility-Preserving Face De-Identificationcited by 8
  25. 2023ReliableSwap: Boosting General Face Swapping Via Reliable Supervisioncited by 8
  26. 2024Thinking Racial Bias in Fair Forgery Detection: Models, Datasets and Evaluationscited by 8
  27. 2024ED4: Explicit Data-level Debiasing for Deepfake Detectioncited by 8
  28. 2024FaceShield: Defending Facial Image against Deepfake Threatscited by 8
  29. 2025NullSwap: Proactive Identity Cloaking Against Deepfake Face Swappingcited by 8
  30. 2022An Overview of Recent Work in Media Forensics: Methods and Threatscited by 7
  31. 2024Mixture-of-Noises Enhanced Forgery-Aware Predictor for Multi-Face Manipulation Detection and Localizationcited by 7
  32. 2025Detecting Lip-Syncing Deepfakes: Vision Temporal Transformer for Analyzing Mouth Inconsistenciescited by 7
  33. 2022Deepfake: Definitions, Performance Metrics and Standards, Datasets and Benchmarks, and a Meta-Reviewcited by 6
  34. 2024VividFace: A Diffusion-Based Hybrid Framework for High-Fidelity Video Face Swappingcited by 6
  35. 2024Generating Attribution Reports for Manipulated Facial Images: A Dataset and Baselinecited by 6
  36. 2025Anti-Diffusion: Preventing Abuse of Modifications of Diffusion-Based Modelscited by 6
  37. 2025SpeechForensics: Audio-Visual Speech Representation Learning for Face Forgery Detectioncited by 6
  38. 2022DFGC 2022: The Second DeepFake Game Competitioncited by 5

50 most cited of 129 All 129 (JSON)