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Modelling and forecasting art movements with CGANs

Conditional generative adversarial networks (CGANs) are a recent and popular method for generating samples from a probability distribution conditioned on latent information. The latent information often comes in the form of a discrete label from a small set. We propose a novel method for training CG...

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Detalles Bibliográficos
Autores principales:	Lisi, Edoardo, Malekzadeh, Mohammad, Haddadi, Hamed, Lau, F. Din-Houn, Flaxman, Seth
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	The Royal Society 2020
Materias:	Computer Science and Artificial Intelligence
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7211863/ https://www.ncbi.nlm.nih.gov/pubmed/32431867 http://dx.doi.org/10.1098/rsos.191569

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