Explainer: Masked Diffusion as a Discrete Analog to Continuous Diffusion
alec_helbling · x · 2026-08-10
The tweet clearly explains the core difference between Masked Diffusion and Continuous Diffusion models.
- Continuous Diffusion: Gradually adds Gaussian noise to the data, then learns to reverse the process to recover the original data.
- Masked Diffusion: As a discrete analog, it progressively replaces tokens with a mask token, then learns to fill them back in.
Related event: Exploring Diffusion Models: Diffusion Explorer Goes Open Source(2 posts)→
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