Hugging Face Trending Papers
IDPrior: Decoupling Identity Generation from Facial Image Synthesis
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arXiv Computer Vision
22h ago
IDPrior: Decoupling Identity Generation from Facial Image Synthesis
arXiv:2611.07941v1 Announce Type: new Abstract: Large-scale identity-labeled face datasets are essential for training modern face recognition models, yet collecting and annotating such data is costly...
arXiv Computer Vision
Oct 15
No Way To Steal My Face: Proactive Defense Against Identity-Preserving Personalized Generation
arXiv:2610.19717v1 Announce Type: new Abstract: Recent advances in diffusion models have enabled high-fidelity, identity-preserving image generation for personalized applications such as digital avat...
arXiv AI
Jul 17
Benchmarking Face Recognition without Real Faces
arXiv:2607. 14932v1 Announce Type: cross Abstract: Synthetic face datasets have become effective enough to train face recognition models with accuracy rivaling that of models trained on real photographs.
arXiv Machine Learning
Jun 11
Adv-TGD: Adversarial Text-Guided Diffusion for Face Recognition Impersonation Attacks
arXiv:2606. 11615v1 Announce Type: cross Abstract: The widespread adoption of face recognition (FR) technologies raises serious privacy concerns, as facial data can be exploited without consent.
Hugging Face Trending Papers
Jul 16
Benchmarking Face Recognition without Real Faces
Synthetic face datasets have become effective enough to train face recognition models with accuracy rivaling that of models trained on real photographs. This progress sidesteps the ethical and legal burdens of collecting real biometric data, yet evaluation has not kept pace.
arXiv Computer Vision
Aug 25
DiffSwap++: 3D Latent-Controlled Diffusion for Identity-Preserving Face Swapping
arXiv:2511.05575v2 Announce Type: replace Abstract: Diffusion-based approaches have recently achieved strong results in face swapping, offering improved visual quality over traditional GAN-based meth...