Bassel Zeno
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View article: PFA-GAN: Pose Face Augmentation Based on Generative Adversarial Network
PFA-GAN: Pose Face Augmentation Based on Generative Adversarial Network Open
In this work, we propose a novel framework based on Generative Adversarial Networks for pose face augmentation (PFA-GAN). It enables a controlled pose synthesis of a new face image from a source face given a driving one while preserving th…
View article: Comparative Review of Cross-Domain Generative Adversarial Networks
Comparative Review of Cross-Domain Generative Adversarial Networks Open
This paper provides the comparative analysis between two recent image-to-image translation models that based on Generative Adversarial Networks. The first one is UNIT which consists of coupled GANs and variational autoencoders (VAEs) with …
View article: Face Validation Based Anomaly Detection Using Variational Autoencoder
Face Validation Based Anomaly Detection Using Variational Autoencoder Open
In unconstrained facial images, large visual variations concerning pose, scale, the presence of occlusions, expressions and lighting usually cause difficulties in discriminating faces from the background accurately. As a result, some non-f…