Signature and Log-Signature for the Study of Empirical Distributions Generated with GANs

In this paper, we address the research gap in efficiently assessing Generative Adversarial Network (GAN) convergence and goodness of fit by introducing the application of the Signature Transform to measure similarity between image distributions. Specifically, we propose the novel use of Root Mean Sq...

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Bibliographic Details
Main Authors: J. de Curtò, I. de Zarzà, Gemma Roig, Carlos T. Calafate
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/12/10/2192