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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| Format: | Final Year Project / Dissertation / Thesis |
| Published: |
2024
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| Online Access: | http://eprints.utar.edu.my/6674/ http://eprints.utar.edu.my/6674/1/fyp_CS_2024_TJL.pdf |
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