Introduction to Image Generation: Diffusion Models

This course provides an introduction to diffusion models, a cutting-edge family of machine learning models that have shown significant promise in the field of image generation. The curriculum covers the fundamental theory behind diffusion models, drawing parallels to concepts in thermodynamics. Students will learn about the recent rise of diffusion models in both research and industry applications. The course explores unconditioned diffusion models and delves into recent advancements, particularly in text-to-image generation. Practical aspects of training and deploying these models on Google Cloud's Vertex AI platform are also covered, giving students hands-on experience with state-of-the-art image generation tools.