Improving Multi-Agent Generative Adversarial Nets with Variational Latent Representation

Improving Multi-Agent Generative Adversarial Nets with Variational Latent Representation

Generative adversarial networks (GANs), which are a promising type of deep generative<br />network, have recently drawn considerable attention and made impressive progress. However,<br />GAN models suffer from the well-known problem of mode collapse. This study focuses on this<br />...

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Bibliographic Details
Main Authors:	Huan Zhao, Tingting Li, Yufeng Xiao, Yu Wang
Format:	Article
Language:	English
Published:	MDPI AG 2020-09-01
Series:	Entropy
Subjects:	diversity generative adversarial networks mode collapsing multi-agent generator quality variable auto-encoder
Online Access:	https://www.mdpi.com/1099-4300/22/9/1055

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