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...

Full description

Bibliographic Details
Main Authors: Christos Korgialas, Evangelia Pantraki, Angeliki Bolari, Martha Sotiroudi, Constantine Kotropoulos
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Journal of Imaging
Subjects:
Online Access:https://www.mdpi.com/2313-433X/9/5/96