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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Vydané v:	IEEE access Ročník 6; s. 54834 - 54843
Hlavní autori:	Chen, Longxiang, Hu, Xiaolong, Zhang, Zuping
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.01.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	autoencoder boundary equilibrium Coders Face aging generative adversarial networks Image quality Image reconstruction non-convergence Saturation saturation problem
ISSN:	2169-3536, 2169-3536
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