The Uncanny Valley: A Comprehensive Analysis of Diffusion Models

arXiv:2402.13369v1 Announce Type: new
Abstract: Through Diffusion Models (DMs), we have made significant advances in generating high-quality images. Our exploration of these models delves deeply into their core operational principles by systematically investigating key aspects across various DM architectures: i) noise schedules, ii) samplers, and iii) guidance. Our comprehensive examination of these models sheds light on their hidden fundamental mechanisms, revealing the concealed foundational elements that are essential for their effectiveness. Our analyses emphasize the hidden key factors that determine …

abstract advances analysis architectures arxiv core cs.ai cs.cv cs.lg diffusion diffusion models exploration guidance iii images key noise quality through type uncanny valley valley