Face Aging With Boundary Equilibrium Conditional Autoencoder

Since generative adversarial networks (GANs) were proposed in 2014, mode collapse has been a problem that affects many researchers when training GANs. With the reconstruction loss of an autoencoder, conditional adversarial autoencoder (CAAE) is free from mode collapse. However, its reconstruction lo...

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Bibliographic Details

Published in:	IEEE access Vol. 6; pp. 54834 - 54843
Main Authors:	Chen, Longxiang, Hu, Xiaolong, Zhang, Zuping
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.01.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	autoencoder boundary equilibrium Coders Face aging generative adversarial networks Image quality Image reconstruction non-convergence Saturation saturation problem
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
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