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FSGAN: Subject Agnostic Face Swapping and Reenactment

arXiv 1908.05932 ↗First posted 16 Aug 2019cs.CV cs.GR cs.LGcited by 319

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Abstract (arXiv)

We present Face Swapping GAN (FSGAN) for face swapping and reenactment. Unlike previous work, FSGAN is subject agnostic and can be applied to pairs of faces without requiring training on those faces. To this end, we describe a number of technical contributions. We derive a novel recurrent neural network (RNN)-based approach for face reenactment which adjusts for both pose and expression variations and can be applied to a single image or a video sequence. For video sequences, we introduce continuous interpolation of the face views based on reenactment, Delaunay Triangulation, and barycentric coordinates. Occluded face regions are handled by a face completion network. Finally, we use a face blending network for seamless blending of the two faces while preserving target skin color and lighting conditions. This network uses a novel Poisson blending loss which combines Poisson optimization with perceptual loss. We compare our approach to existing state-of-the-art systems and show our results to be both qualitatively and quantitatively superior.

Key facts. Cited by 319 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 Aug 2019.

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Citing papers per year: 2021: 68; 2022: 66; 2023: 57; 2024: 59; 2025: 44; 2026: 25.

319 papers.

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  1. 2021Multi-attentional Deepfake Detectioncited by 339
  2. 2023MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Modelcited by 330
  3. 2021Motion Representations for Articulated Animationcited by 253
  4. 2022CelebV-HQ: A Large-Scale Video Facial Attributes Datasetcited by 246
  5. 2021SimSwap: An Efficient Framework For High Fidelity Face Swappingcited by 243
  6. 2021Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domaincited by 241
  7. 2021Neural Head Avatars from Monocular RGB Videoscited by 212
  8. 2021FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Datasetcited by 179
  9. 2021Exploring Temporal Coherence for More General Video Face Forgery Detectioncited by 158
  10. 2021Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head Motioncited by 148
  11. 2024DF40: Toward Next-Generation Deepfake Detectioncited by 126
  12. 2021ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysiscited by 124
38 more
  1. 2021M2TR: Multi-modal Multi-scale Transformers for Deepfake Detectioncited by 114
  2. 2021One Shot Face Swapping on Megapixelscited by 105
  3. 2022Protecting Celebrities from DeepFake with Identity Consistency Transformercited by 95
  4. 2021HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swappingcited by 92
  5. 2021Face Forensics in the Wildcited by 87
  6. 2023Self-Supervised Video Forensics by Audio-Visual Anomaly Detectioncited by 84
  7. 2021Deepfakes Generation and Detection: State-of-the-art, open challenges, countermeasures, and way forwardcited by 82
  8. 2021KoDF: A Large-scale Korean DeepFake Detection Datasetcited by 80
  9. 2021Deepfake Video Detection Using Convolutional Vision Transformercited by 79
  10. 2022DiffFace: Diffusion-based Face Swapping with Facial Guidancecited by 77
  11. 2022CORE: Consistent Representation Learning for Face Forgery Detectioncited by 73
  12. 2022AvatarMAV: Fast 3D Head Avatar Reconstruction Using Motion-Aware Neural Voxelscited by 73
  13. 2024Detecting Multimedia Generated by Large AI Models: A Surveycited by 73
  14. 2022Fine-Grained Face Swapping via Regional GAN Inversioncited by 67
  15. 2023BlendFace: Re-designing Identity Encoders for Face-Swappingcited by 66
  16. 2024Deepfake Generation and Detection: A Benchmark and Surveycited by 66
  17. 2024Face Adapter for Pre-Trained Diffusion Models with Fine-Grained ID and Attribute Controlcited by 66
  18. 2024AVFF: Audio-Visual Feature Fusion for Video Deepfake Detectioncited by 59
  19. 2021Deepfake Detection by Human Crowds, Machines, and Machine-informed Crowdscited by 58
  20. 2021Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Imagescited by 58
  21. 2022High-resolution Face Swapping via Latent Semantics Disentanglementcited by 57
  22. 2021Countering Malicious DeepFakes: Survey, Battleground, and Horizoncited by 56
  23. 2025HunyuanPortrait: Implicit Condition Control for Enhanced Portrait Animationcited by 55
  24. 2023Multimodal Automated Fact-Checking: A Surveycited by 51
  25. 2021OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wildcited by 50
  26. 2023LatentAvatar: Learning Latent Expression Code for Expressive Neural Head Avatarcited by 50
  27. 2022Deepfake Detection: A Comprehensive Survey from the Reliability Perspectivecited by 48
  28. 2024VLOGGER: Multimodal Diffusion for Embodied Avatar Synthesiscited by 48
  29. 2024Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detectioncited by 47
  30. 2021Write-a-speaker: Text-based Emotional and Rhythmic Talking-head Generationcited by 46
  31. 2022Region-Aware Face Swappingcited by 45
  32. 2022Implicit Warping for Animation with Image Setscited by 45
  33. 2022Voice-Face Homogeneity Tells Deepfakecited by 44
  34. 2022FaceDancer: Pose- and Occlusion-Aware High Fidelity Face Swappingcited by 44
  35. 2022Audio-Visual Person-of-Interest DeepFake Detectioncited by 43
  36. 2023Glitch in the Matrix: A Large Scale Benchmark for Content Driven Audio-Visual Forgery Detection and Localizationcited by 42
  37. 2022MobileFaceSwap: A Lightweight Framework for Video Face Swappingcited by 39
  38. 2022StyleSwap: Style-Based Generator Empowers Robust Face Swappingcited by 39

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