Normalizing Trajectory Models
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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. Existing few-step methods address this through distillation, consistency training, or adversarial objectives, but sacrifice the likelihood framework in the process. …
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- October 08, 2026 15:00
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normalizing-trajectory-models