Forward Diffusion and the Heat Equation: All Distributions Become Gaussian
An interactive live film: an arbitrary multimodal initial distribution smooths monotonically into a standard normal bell under the heat equation, with entropy strictly increasing and higher moments decaying.
Narration
The forward process of a diffusion model adds pure noise. The probability density satisfies the heat equation, with no drift.
Solving the heat equation amounts to continuous Gaussian convolution. Each point mass spreads into a Gaussian bell, blurring fine features first.
The rest of the narration is in the book's Companion.
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