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| Step-by-Step Diffusion: An Elementary Tutorial (arxiv.org) | |
| 2 points by Anon84 305 days ago | hide | past | pdf | discuss on HN | |
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In plain words: A beginner-friendly course that teaches how AI turns random noise into images or text step by step, building the needed math from scratch. Unlike typical introductions that dive into heavy equations, it simplifies the details yet still derives algorithms that work correctly. AbstractWe present an accessible first course on diffusion models and flow matching for machine learning, aimed at a technical audience with no diffusion experience. We try to simplify the mathematical details as much as possible (sometimes heuristically), while retaining enough precision to derive correct algorithms. | |
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