most citedID-Booth: Identity-consistent Face Generation with Diffusion Models

4 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

PIU: Proximity-guided Identity Unlearning in ID-Conditioned Diffusion Models

Jose Edgar Hernandez Cancino Estrada, Mauro Díaz Lupone, Žiga Emeršič +3

Identity-conditioned diffusion models enable high-quality and identity-consistent face generation, but they also raise severe privacy concerns, as models may continue to synthesize…

cs.CV2026

FunFace: Feature Utility and Norm Estimation for Face Recognition

Žiga Babnik, Fadi Boutros, Naser Damer +3

Face Recognition (FR) is used in a variety of application domains, from entertainment and banking to security and surveillance. Such applications rely on the FR model to be robust…

cs.CV2025

Second Competition on Presentation Attack Detection on ID Card

Juan E. Tapia, Mario Nieto, Juan M. Espin +30

This work summarises and reports the results of the second Presentation Attack Detection competition on ID cards. This new version includes new elements compared to the previous on…

cs.CV2025

SelfMAD: Enhancing Generalization and Robustness in Morphing Attack Detection via Self-Supervised Learning

Marija Ivanovska, Leon Todorov, Naser Damer +3

With the continuous advancement of generative models, face morphing attacks have become a significant challenge for existing face verification systems due to their potential use in…

cs.CV2025★ 4 cited

ID-Booth: Identity-consistent Face Generation with Diffusion Models

Darian Tomašević, Fadi Boutros, Chenhao Lin +3

Recent advances in generative modeling have enabled the generation of high-quality synthetic data that is applicable in a variety of domains, including face recognition. Here, stat…