AI brief
Apple Machine Learning Research published work on normalizing trajectory models, addressing how diffusion-based models break down when generation is compressed to few coarse transitions. Existing few-step methods handle this through distillation or consistency training.
Written by AI from Apple Machine Learning Research's published text.
Source
“Diffusion-based models decompose sampling into many small Gaussian denoising steps, an assumption that breaks down when generation is compressed to a few coarse transitions.”
A paper, laboratory publication or research report.
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