Anime characters creation using generative adversarial networks with user inputs

• Main Author: Ang, Himari Lixin
• Other Authors: Seah Hock Soon
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science; Generative adversarial networks; Anime; Diffusion
• Online Access: https://hdl.handle.net/10356/175300
• Institution: 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...