mlsanityData to 7 Oct 2026

Live Face De-Identification in Video

arXiv 1911.08348 ↗First posted 19 Nov 2019cs.LG cs.CV cs.GRcited by 48

Not on the map. Why?

Abstract (arXiv)

We propose a method for face de-identification that enables fully automatic video modification at high frame rates. The goal is to maximally decorrelate the identity, while having the perception (pose, illumination and expression) fixed. We achieve this by a novel feed-forward encoder-decoder network architecture that is conditioned on the high-level representation of a person's facial image. The network is global, in the sense that it does not need to be retrained for a given video or for a given identity, and it creates natural looking image sequences with little distortion in time.

Key facts. Cited by 48 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Nov 2019.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 11; 2022: 10; 2023: 9; 2024: 7; 2025: 4; 2026: 7.

48 papers.

Sort:

By area:

  1. 2022Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priorscited by 487
  2. 2022DeepPrivacy2: Towards Realistic Full-Body Anonymizationcited by 51
  3. 2021Data Poisoning Won't Save You From Facial Recognitioncited by 45
  4. 2021PASS: Protected Attribute Suppression System for Mitigating Bias in Face Recognitioncited by 38
  5. 2023Diff-Privacy: Diffusion-based Face Privacy Protectioncited by 25
  6. 2021IdentityDP: Differential Private Identification Protection for Face Imagescited by 24
  7. 2021MOST-GAN: 3D Morphable StyleGAN for Disentangled Face Image Manipulationcited by 24
  8. 2022OPOM: Customized Invisible Cloak towards Face Privacy Protectioncited by 22
  9. 2023RiDDLE: Reversible and Diversified De-identification with Latent Encryptorcited by 21
  10. 2021Perceptual Indistinguishability-Net (PI-Net): Facial Image Obfuscation with Manipulable Semanticscited by 20
  11. 2024G2Face: High-Fidelity Reversible Face Anonymization via Generative and Geometric Priorscited by 20
  12. 2022Realistic Full-Body Anonymization with Surface-Guided GANscited by 15
36 more
  1. 2022My Face My Choice: Privacy Enhancing Deepfakes for Social Media Anonymizationcited by 14
  2. 2021CFA-Net: Controllable Face Anonymization Network with Identity Representation Manipulationcited by 12
  3. 2023Does Image Anonymization Impact Computer Vision Training?cited by 12
  4. 2023FIVA: Facial Image and Video Anonymization and Anonymization Defensecited by 12
  5. 2022StyleID: Identity Disentanglement for Anonymizing Facescited by 10
  6. 2021Graph-based Generative Face Anonymisation with Pose Preservationcited by 9
  7. 2024Face De-identification: State-of-the-art Methods and Comparative Studiescited by 9
  8. 2021FICGAN: Facial Identity Controllable GAN for De-identificationcited by 6
  9. 2021A Review on Visual Privacy Preservation Techniques for Active and Assisted Livingcited by 6
  10. 2022Learnable Privacy-Preserving Anonymization for Pedestrian Imagescited by 6
  11. 2025Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Datasetcited by 5
  12. 2021Causal Representation Learning for Context-Aware Face Transfercited by 2
  13. 2022Practical Digital Disguises: Leveraging Face Swaps to Protect Patient Privacycited by 2
  14. 2022StyleGAN as a Utility-Preserving Face De-identification Methodcited by 2
  15. 2024RID-TWIN: An end-to-end pipeline for automatic face de-identification in videoscited by 2
  16. 2024Exploring AI-based Anonymization of Industrial Image and Video Data in the Context of Feature Preservationcited by 2
  17. 2024Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approachcited by 2
  18. 2024Towards mitigating uncann(eye)ness in face swaps via gaze-centric loss termscited by 1
  19. 2025SVIA: A Street View Image Anonymization Framework for Self-Driving Applicationscited by 1
  20. 2025When Privacy Meets Recovery: The Overlooked Half of Surrogate-Driven Privacy Preservation for MLLM Editingcited by 1
  21. 2021rx-anon -- A Novel Approach on the De-Identification of Heterogeneous Data based on a Modified Mondrian Algorithmcited by 0
  22. 2022To show or not to show: Redacting sensitive text from videos of electronic displayscited by 0
  23. 2023Data-Driven but Privacy-Conscious: Pedestrian Dataset De-identification via Full-Body Person Synthesiscited by 0
  24. 2023PRO-Face S: Privacy-preserving Reversible Obfuscation of Face Images via Secure Flowcited by 0
  25. 2023PrivacyGAN: robust generative image privacycited by 0
  26. 2023Disentangle Before Anonymize: A Two-stage Framework for Attribute-preserved and Occlusion-robust De-identificationcited by 0
  27. 2023VerA: Versatile Anonymization Applicable to Clinical Facial Photographscited by 0
  28. 2024Deep Learning Technology for Face Forgery Detection: A Surveycited by 0
  29. 2025FairDeFace: Evaluating the Fairness and Adversarial Robustness of Face Obfuscation Methodscited by 0
  30. 2026Self-Supervised Uncalibrated Multi-View Video Anonymization in the Operating Roomcited by 0
  31. 2026Face anonymization preserving facial expressions and photometric realismcited by 0
  32. 2026Position: Life-Logging Video Streams Make the Privacy-Utility Trade-off Inevitablecited by 0
  33. 2026When Recovery Matters: The Blind Spot of Surrogate Privacy in MLLM Editingcited by 0
  34. 2026Face De-Identification: A Domain-Centric Survey from Capture to Processingcited by 0
  35. 2026HYDRO: Towards Non-Reversible Face De-Identification Using a High-Fidelity Hybrid Diffusion and Target-Oriented Approachcited by 0
  36. 2026Adversarial Attacks and Identity Leakage in De-Identification Systems: An Empirical Studycited by 0