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Feb, 2017
McGan: 均值与协方差特征匹配 GAN
McGan: Mean and Covariance Feature Matching GAN
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Youssef Mroueh, Tom Sercu, Vaibhava Goel
TL;DR
本文介绍了一种新的基于积分概率度量的生成对抗网络(IPMs)用于训练GAN的方法,该方法基于有限维特征空间中嵌入的分布的统计数据,其中的平均值和协方差匹配特征,这样的IPMs可实现稳定的GAN训练,我们称之为McGan,并最小化所讨论的分布之间的有意义的损失
Abstract
We introduce new families of
integral probability metrics
(IPM) for training
generative adversarial networks
(GAN). Our IPMs are based on matching statistics of distributions embedded in a finite dimensional feat
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