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...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	IEEE access Jg. 6; S. 54834 - 54843
Hauptverfasser:	Chen, Longxiang, Hu, Xiaolong, Zhang, Zuping
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.01.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	autoencoder boundary equilibrium Coders Face aging generative adversarial networks Image quality Image reconstruction non-convergence Saturation saturation problem
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!