Diffusion Noise Schedules and the DDPM Posterior

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Unit 18 · Generative Models0/2 to milestone

A diffusion model learns to undo a fixed noising process. With a schedule β1…βT\beta_1 \ldots \beta_T, αt=1−βt\alpha_t = 1 - \beta_t and αˉt=∏s≤tαs\bar\alpha_t = \prod_{s \le t}\alpha_s, you can jump straight to any noise level:

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solution.py · Python 3.13
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Diffusion Noise Schedules and the DDPM Posterior · TechGradify