mlsanityData to 14 Oct 2026

Exposing GAN-synthesized Faces Using Landmark Locations

arXiv 1904.00167 ↗First posted 30 Mar 2019cs.CVcited by 30

Not on the map. Why?

Abstract (arXiv)

Generative adversary networks (GANs) have recently led to highly realistic image synthesis results. In this work, we describe a new method to expose GAN-synthesized images using the locations of the facial landmark points. Our method is based on the observations that the facial parts configuration generated by GAN models are different from those of the real faces, due to the lack of global constraints. We perform experiments demonstrating this phenomenon, and show that an SVM classifier trained using the locations of facial landmark points is sufficient to achieve good classification performance for GAN-synthesized faces.

Key facts. Cited by 30 papers in the map (data through 14 Oct 2026). First posted on arXiv 30 Mar 2019.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2021: 9; 2022: 6; 2023: 7; 2024: 3; 2025: 2; 2026: 3.

30 papers.

Sort:

By area:

  1. 2024Preserving Fairness Generalization in Deepfake Detectioncited by 70
  2. 2024Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensicscited by 69
  3. 2021Improving the Efficiency and Robustness of Deepfakes Detection through Precise Geometric Featurescited by 57
  4. 2021Countering Malicious DeepFakes: Survey, Battleground, and Horizoncited by 56
  5. 2021Eyes Tell All: Irregular Pupil Shapes Reveal GAN-generated Facescited by 48
  6. 2022GAN-generated Faces Detection: A Survey and New Perspectivescited by 30
  7. 2021Robust Attentive Deep Neural Network for Exposing GAN-generated Facescited by 28
  8. 2022Exposing Deepfake Face Forgeries with Guided Residualscited by 17
  9. 2024Characteristics and prevalence of fake social media profiles with AI-generated facescited by 14
  10. 2025Characterizing Photorealism and Artifacts in Diffusion Model-Generated Imagescited by 14
  11. 2022Open-Eye: An Open Platform to Study Human Performance on Identifying AI-Synthesized Facescited by 11
  12. 2021The Deepfake Detection Dilemma: A Multistakeholder Exploration of Adversarial Dynamics in Synthetic Mediacited by 9
18 more
  1. 2021Detection of Deepfake Videos Using Long Distance Attentioncited by 9
  2. 2023Finding AI-Generated Faces in the Wildcited by 8
  3. 2021LOTR: Face Landmark Localization Using Localization Transformercited by 6
  4. 2023COMICS: End-to-end Bi-grained Contrastive Learning for Multi-face Forgery Detectioncited by 5
  5. 2022Face Forgery Detection Based on Facial Region Displacement Trajectory Seriescited by 4
  6. 2023Vulnerability of Automatic Identity Recognition to Audio-Visual Deepfakescited by 4
  7. 2025Rethinking Individual Fairness in Deepfake Detectioncited by 4
  8. 2021Fake-image detection with Robust Hashingcited by 3
  9. 2022Detecting High-Quality GAN-Generated Face Images using Neural Networkscited by 3
  10. 2023Pneumonia Detection in Chest X-Ray Images : Handling Class Imbalancecited by 3
  11. 2022Fighting Malicious Media Data: A Survey on Tampering Detection and Deepfake Detectioncited by 2
  12. 2023ForensicsForest Family: A Series of Multi-scale Hierarchical Cascade Forests for Detecting GAN-generated Facescited by 2
  13. 2021Sub-pixel face landmarks using heatmaps and a bag of trickscited by 1
  14. 2023Spritz-PS: Validation of Synthetic Face Images Using a Large Dataset of Printed Documentscited by 1
  15. 2023Multi-Channel Cross Modal Detection of Synthetic Face Imagescited by 1
  16. 2026StegaFFD: Privacy-Preserving Face Forgery Detection via Fine-Grained Steganographic Domain Liftingcited by 0
  17. 2026Is Seeing Believing? Evaluating Human Sensitivity to Synthetic Videocited by 0
  18. 2026Multi-Tool Image Editing Attribution in Facial Forgerycited by 0