76 citations · 149 across the 9 of their papers we have counts for
11 papers · 1 filter
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…
PrivacyProber: Assessment and Detection of Soft-Biometric Privacy-Enhancing Techniques
Peter Rot, Peter Peer, Vitomir Štruc
Soft-biometric privacy-enhancing techniques represent machine learning methods that aim to: (i) mitigate privacy concerns associated with face recognition technology by suppressing…
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…
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…
Segmentation and Recovery of Superquadric Models using Convolutional Neural Networks
Jaka Šircelj, Tim Oblak, Klemen Grm +5
In this paper we address the problem of representing 3D visual data with parameterized volumetric shape primitives. Specifically, we present a (two-stage) approach built around con…