11 citations · 18 across the 6 of their papers we have counts for
7 papers · 1 filter
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…
AI-KD: Towards Alignment Invariant Face Image Quality Assessment Using Knowledge Distillation
Žiga Babnik, Fadi Boutros, Naser Damer +2
Face Image Quality Assessment (FIQA) techniques have seen steady improvements over recent years, but their performance still deteriorates if the input face samples are not properly…
Beyond Detection: Visual Realism Assessment of Deepfakes
Luka Dragar, Peter Peer, Vitomir Štruc +1
In the era of rapid digitalization and artificial intelligence advancements, the development of DeepFake technology has posed significant security and privacy concerns. This paper…
DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic Models
Žiga Babnik, Peter Peer, Vitomir Štruc
Modern face recognition (FR) models excel in constrained scenarios, but often suffer from decreased performance when deployed in unconstrained (real-world) environments due to unce…
SYN-MAD 2022: Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data
Marco Huber, Fadi Boutros, Anh Thi Luu +16
This paper presents a summary of the Competition on Face Morphing Attack Detection Based on Privacy-aware Synthetic Training Data (SYN-MAD) held at the 2022 International Joint Con…
Face Morphing Attack Detection Using Privacy-Aware Training Data
Marija Ivanovska, Andrej Kronovšek, Peter Peer +2
Images of morphed faces pose a serious threat to face recognition--based security systems, as they can be used to illegally verify the identity of multiple people with a single mor…