ConceptContinuous Diffusion Models
Continuous Diffusion Model
A class of generative models that formulate text generation as a stepwise denoising process in continuous embedding space. Unlike discrete diffusion models, they generate text by mapping tokens to continuous vectors and applying noising and denoising.
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Oct 26
Continuous diffusion models suffer from a temporal compression problem stemming from the misalignment between geometric trajectory and temporal progression, causing token identity decay to concentrate in a narrow window near the noise endpoints.
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