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...

Full description

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/6545/1/20ACB03397_FYP.pdf http://eprints.utar.edu.my/6545/
Tags:	Add Tag No Tags, Be the first to tag this record!