Anime characters creation using generative adversarial networks with user inputs

• المؤلف الرئيسي: Ang, Himari Lixin
• مؤلفون آخرون: Seah Hock Soon
• التنسيق: Final Year Project
• اللغة: English
• منشور في: Nanyang Technological University 2024
• الموضوعات: Computer and Information Science; Generative adversarial networks; Anime; Diffusion
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/175300

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...