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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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Bibliographic Details
Main Author:	Tan, Jia Ler
Format:	Final Year Project / Dissertation / Thesis
Published:	2024
Subjects:	T Technology (General)
Online Access:	http://eprints.utar.edu.my/6674/1/fyp_CS_2024_TJL.pdf http://eprints.utar.edu.my/6674/
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