62 citations · 99 across the 32 of their papers we have counts for
10 papers · 1 filter
Body Segmentation Using Multi-task Learning
Julijan Jug, Ajda Lampe, Vitomir Štruc +1
Body segmentation is an important step in many computer vision problems involving human images and one of the key components that affects the performance of all downstream tasks. S…
C-VTON: Context-Driven Image-Based Virtual Try-On Network
Benjamin Fele, Ajda Lampe, Peter Peer +1
Image-based virtual try-on techniques have shown great promise for enhancing the user-experience and improving customer satisfaction on fashion-oriented e-commerce platforms. Howev…
FaceQAN: Face Image Quality Assessment Through Adversarial Noise Exploration
Žiga Babnik, Peter Peer, Vitomir Štruc
Recent state-of-the-art face recognition (FR) approaches have achieved impressive performance, yet unconstrained face recognition still represents an open problem. Face image quali…
GlassesGAN: Eyewear Personalization using Synthetic Appearance Discovery and Targeted Subspace Modeling
Richard Plesh, Peter Peer, Vitomir Štruc
We present GlassesGAN, a novel image editing framework for custom design of glasses, that sets a new standard in terms of image quality, edit realism, and continuous multi-style ed…
SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing Deepfakes
Nicolas Larue, Ngoc-Son Vu, Vitomir Struc +2
Modern deepfake detectors have achieved encouraging results, when training and test images are drawn from the same data collection. However, when these detectors are applied to ima…
Hierarchical Superquadric Decomposition with Implicit Space Separation
Jaka Šircelj, Peter Peer, Franc Solina +1
We introduce a new method to reconstruct 3D objects using a set of volumetric primitives, i.e., superquadrics. The method hierarchically decomposes a target 3D object into pairs of…