How diffusion models work, in plain words: gradually add noise to data until it is pure static, then train a network to reverse that process step by step — learning to turn noise into structure, and with it a powerful way to generate and reconstruct signals.
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The monograph lives at its own URL in the warm-paper layout, with figures and worked examples in plain words.
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