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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| 第一著者: | |
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| フォーマット: | Final Year Project / Dissertation / Thesis |
| 出版事項: |
2024
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| 主題: | |
| オンライン･アクセス: | http://eprints.utar.edu.my/6674/1/fyp_CS_2024_TJL.pdf http://eprints.utar.edu.my/6674/ |
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