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Performance comparison between generative adversarial networks (GAN) variants in generating comic character images.

Generative Adversarial Networks (GANs) have emerged as a powerful framework for generating realistic and diverse data, including images. This project aims to provide a comprehensive understanding of GANs and their applications in anime face generation. Through theoretical investigation, practical im...

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書目詳細資料
主要作者:	Tan, Jia Ler
格式:	Final Year Project / Dissertation / Thesis
出版:	2024
主題:	T Technology (General)
在線閱讀:	http://eprints.utar.edu.my/6674/1/fyp_CS_2024_TJL.pdf http://eprints.utar.edu.my/6674/
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