Anime characters creation using generative adversarial networks with user inputs

• 主要作者: Ang, Himari Lixin
• 其他作者: Seah Hock Soon
• 格式: Final Year Project
• 語言: English
• 出版: Nanyang Technological University 2024
• 主題: Computer and Information Science; Generative adversarial networks; Anime; Diffusion
• 在線閱讀: https://hdl.handle.net/10356/175300
• 機構: Nanyang Technological University

Generative Adversarial Network (GAN) is a framework that has been used to generate realistic images of faces, objects, and even landscapes. With its increasing popularity, it can be used to generate anime facial images. Diffusion models have also recently been on the rise with models like Stable Dif...