A review on Generative Adversarial Networks for image generation

Generative Adversarial Networks (GANs) are a type of deep learning architecture that uses two networks namely a generator and a discriminator that, by competing against each other, pursue to create realistic but previously unseen samples. They have become a popular research topic in recent years, pa...

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Bibliographic Details
Published inComputers & graphics Vol. 114; pp. 13 - 25
Main Authors Trevisan de Souza, Vinicius Luis, Marques, Bruno Augusto Dorta, Batagelo, Harlen Costa, Gois, João Paulo
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.08.2023
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