Generative Modeling in Continuous Spaces

From Theory to Practical Applications

Diffusion models have emerged as a powerful class of generative models, achieving state-of-the-art performance in various tasks such as image synthesis, text-to-image generation, and video generation. This study provides a comprehensive overview of diffusion models, covering their theoretical foundations, practical implementations, and applications across different domains.