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

Internet

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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