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Face Aging by Explainable Conditional Adversarial Autoencoders

This paper deals with Generative Adversarial Networks (GANs) applied to face aging. An explainable face aging framework is proposed that builds on a well-known face aging approach, namely the Conditional Adversarial Autoencoder (CAAE). The proposed framework, namely, xAI-CAAE, couples CAAE with expl...

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Detalles Bibliográficos
Autores principales:	Korgialas, Christos, Pantraki, Evangelia, Bolari, Angeliki, Sotiroudi, Martha, Kotropoulos, Constantine
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10219220/ https://www.ncbi.nlm.nih.gov/pubmed/37233315 http://dx.doi.org/10.3390/jimaging9050096

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