4 papers
GRACE: Adaptive Concept Erasure with Geometry-Guided Retention in Diffusion Models
Qinghui Gong, Yihuai Liang, Yuanlun Xie +3
Text-to-image (T2I) diffusion models inevitably internalize sensitive or non-compliant concepts from large-scale pretraining data, necessitating post-hoc concept erasure. However,…
FROQ: Observing Face Recognition Models for Efficient Quality Assessment
Žiga Babnik, Deepak Kumar Jain, Peter Peer +1
Face Recognition (FR) plays a crucial role in many critical (high-stakes) applications, where errors in the recognition process can lead to serious consequences. Face Image Quality…
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…
DiCTI: Diffusion-based Clothing Designer via Text-guided Input
Ajda Lampe, Julija Stopar, Deepak Kumar Jain +3
Recent developments in deep generative models have opened up a wide range of opportunities for image synthesis, leading to significant changes in various creative fields, including…