Multi-domain anime image generation and editing

• 主要作者: Aravind S/O Sivakumaran
• 其他作者: Lu Shijian
• 格式: Final Year Project
• 語言: English
• 出版: Nanyang Technological University 2022
• 主題: Engineering::Computer science and engineering
• 在線閱讀: https://hdl.handle.net/10356/162940
• 機構: Nanyang Technological University

Generative models such as text-to-image and image-to-image have been very successful to date. Some successful models include OpenAI's DALLE-2, Google's Imagen, and Parti. However, these state-of-the-art (SOTA) Diffusion models are hard to train, and finetuning them requires resources...