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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| Format: | Dissertation |
| Language: | English |
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University of Cape Town
2020
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| Online Access: | http://hdl.handle.net/11427/32458 |