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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Published in | Computers & graphics Vol. 114; pp. 13 - 25 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.08.2023
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Subjects | |
Online Access | Get full text |
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