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Generative adversarial networks for fine art generation

Generative Adversarial Networks (GANs), a generative modelling technique most commonly used for image generation, have recently been applied to the task of fine art generation. Wasserstein GANs and GANHack techniques have not been applied in GANs that generate fine art, despite their showing improve...

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Bibliographic Details
Main Author: Berman, Alan
Other Authors: Moodley, Deshendran
Format: Thesis
Language:English
Published: University of Cape Town 2020
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