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Information × Registration Number 2120U007853, Article popup.category Препринт Title Face reenactment with GANs using landmark representation of a face (AI translated) popup.author Kosarevych IvanKosarevych Ivan popup.publication 01-01-2020 popup.source_user Український католицький університет popup.source https://hdl.handle.net/20.500.14570/4512 popup.publisher Description Face reenactment is an emerging technology that attracts high interest in recent years. It aims at generating face with the identity of one person (known as target) and facial expression from another (source). Many existing methods are limited to reenact a predefined personality of either source or target. In this study, we present the approach that is agnostic to the identity of source and target and observes only a single image of each of them. Our method is based on recently introduced Gen- erative adversarial networks (GANs). We experimentally find a proper GAN loss for our system. An accurate expression transfer from a source person is essential for face reenactment. In this study, we examine different approaches to achieve it and design a landmark loss function based on our novel landmark detector. popup.nrat_date 2025-11-05 Close