mlsanityData to 14 Oct 2026

FaceDancer: Pose- and Occlusion-Aware High Fidelity Face Swapping

arXiv 2210.10473 ↗First posted 19 Oct 2022cs.CVcited by 44

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Abstract (arXiv)

In this work, we present a new single-stage method for subject agnostic face swapping and identity transfer, named FaceDancer. We have two major contributions: Adaptive Feature Fusion Attention (AFFA) and Interpreted Feature Similarity Regularization (IFSR). The AFFA module is embedded in the decoder and adaptively learns to fuse attribute features and features conditioned on identity information without requiring any additional facial segmentation process. In IFSR, we leverage the intermediate features in an identity encoder to preserve important attributes such as head pose, facial expression, lighting, and occlusion in the target face, while still transferring the identity of the source face with high fidelity. We conduct extensive quantitative and qualitative experiments on various datasets and show that the proposed FaceDancer outperforms other state-of-the-art networks in terms of identityn transfer, while having significantly better pose preservation than most of the previous methods.

Key facts. Cited by 44 papers in the map (data through 14 Oct 2026). Builds on 34 of its 46 references that are in the map. First posted on arXiv 19 Oct 2022.

Builds on

34 of 46 references.

References · 34

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22 more
  1. 2021Alias-Free Generative Adversarial Networkscited by 1,184
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  15. 2017Fine-Grained Head Pose Estimation Without Keypointscited by 163
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  18. 2021HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swappingcited by 92
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Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 12; 2025: 17; 2026: 14.

44 papers.

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  1. 2024DF40: Toward Next-Generation Deepfake Detectioncited by 129
  2. 2024Deepfake Generation and Detection: A Benchmark and Surveycited by 67
  3. 2024ConsistentID: Portrait Generation with Multimodal Fine-Grained Identity Preservingcited by 43
  4. 2024Realistic and Efficient Face Swapping: A Unified Approach with Diffusion Modelscited by 36
  5. 2024X2-DFD: A framework for eXplainable and eXtendable Deepfake Detectioncited by 35
  6. 2024Face Anonymization Made Simplecited by 18
  7. 2024Unified Physical-Digital Face Attack Detectioncited by 17
  8. 2025From Specificity to Generality: Revisiting Generalizable Artifacts in Detecting Face Deepfakescited by 14
  9. 2023FIVA: Facial Image and Video Anonymization and Anonymization Defensecited by 12
  10. 2025TalkingHeadBench: A Multi-Modal Benchmark & Analysis of Talking-Head DeepFake Detectioncited by 11
  11. 2024Deepfake Media Generation and Detection in the Generative AI Era: A Survey and Outlookcited by 10
  12. 2025DreamID: High-Fidelity and Fast diffusion-based Face Swapping via Triplet ID Group Learningcited by 10
32 more
  1. 2024HiFiVFS: High Fidelity Video Face Swappingcited by 9
  2. 2024Joint Physical-Digital Facial Attack Detection Via Simulating Spoofing Cluescited by 8
  3. 2025DeepShield: Fortifying Deepfake Video Detection with Local and Global Forgery Analysiscited by 7
  4. 2025FantasyID: A dataset for detecting digital manipulations of ID-documentscited by 6
  5. 2025Benchmarking Unified Face Attack Detection via Hierarchical Prompt Tuningcited by 5
  6. 2025Open-World Deepfake Attribution via Confidence-Aware Asymmetric Learningcited by 5
  7. 2024Unified Physical-Digital Attack Detection Challengecited by 3
  8. 2025De-Fake: Style based Anomaly Deepfake Detectioncited by 1
  9. 2026AlphaFace: High Fidelity and Real-time Face Swapper Robust to Facial Posecited by 1
  10. 2026Towards High Fidelity Face Swapping: A Comprehensive Survey and New Benchmarkcited by 1
  11. 2024Revisiting Face Forgery Detection: From Facial Representation to Forgery Detectioncited by 0
  12. 2025Unified Face Matching and Physical-Digital Spoofing Attack Detectioncited by 0
  13. 2025DFCon: Attention-Driven Supervised Contrastive Learning for Robust Deepfake Detectioncited by 0
  14. 2025MVFNet: Multipurpose Video Forensics Network using Multiple Forms of Forensic Evidencecited by 0
  15. 2025Assessing the Use of Face Swapping Methods as Face Anonymizers in Videoscited by 0
  16. 2025Spotting tell-tale visual artifacts in face swapping videos: strengths and pitfalls of CNN detectorscited by 0
  17. 2025Morphology-optimized Multi-Scale Fusion: Combining Local Artifacts and Mesoscopic Semantics for Deepfake Detection and Localizationcited by 0
  18. 2025R2M: Real-Aware Residual Model Merging for Robust and Generalizable Deepfake Detectioncited by 0
  19. 2025DeepForgeSeal: Latent Space-Driven Semi-Fragile Watermarking for Deepfake Detection Using Adversarial Reinforcement Learningcited by 0
  20. 2025DiffSwap++: 3D Latent-Controlled Diffusion for Identity-Preserving Face Swappingcited by 0
  21. 2026GaussianSwap: Animatable Video Face Swapping with 3D Gaussian Splattingcited by 0
  22. 2026Low-rank Orthogonal Subspace Intervention for Generalizable Face Forgery Detectioncited by 0
  23. 2026APPLE: Attribute-Preserving Pseudo-Labeling for Diffusion-Based Face Swappingcited by 0
  24. 2026Exploring Specular Reflection Inconsistency for Generalizable Face Forgery Detectioncited by 0
  25. 2026Optimizing ID Consistency in Multimodal Large Models: Facial Restoration via Alignment, Entanglement, and Disentanglementcited by 0
  26. 2026SAiW: Source-Attributable Invisible Watermarking for Proactive Deepfake Defensecited by 0
  27. 2026Generalizable Face Forgery Detection via Separable Prompt Learningcited by 0
  28. 2026From Talking to Singing: A New Challenge for Audio-Visual Deepfake Detectioncited by 0
  29. 2026FakeIDet3-DB: Refining Digital Attacks and Patch Extraction for Secure ID Benchmarkingcited by 0
  30. 2026Preserving Knowledge across Space and Time for Continual Video Deepfake Detectioncited by 0
  31. 2026HYDRO: Towards Non-Reversible Face De-Identification Using a High-Fidelity Hybrid Diffusion and Target-Oriented Approachcited by 0
  32. 2026Adversarial Attacks and Identity Leakage in De-Identification Systems: An Empirical Studycited by 0