most citedC-VTON: Context-Driven Image-Based Virtual Try-On Network

62 citations · 65 across the 6 of their papers we have counts for

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cs.CV2025

MADation: Face Morphing Attack Detection with Foundation Models

Eduarda Caldeira, Guray Ozgur, Tahar Chettaoui +5

Despite the considerable performance improvements of face recognition algorithms in recent years, the same scientific advances responsible for this progress can also be used to cre…

cs.CV202262 cited

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…

cs.CV2022

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…

cs.CV2022

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…

cs.CV2022

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…

cs.CV2019

Simultaneous regression and feature learning for facial landmarking

Janez Križaj, Peter Peer, Vitomir Štruc +1

Face alignment (or facial landmarking) is an important task in many face-related applications, ranging from registration, tracking and animation to higher-level classification prob…