Apple introduces Normalizing Trajectory Models for few-step generation
Read original source →machinelearning.apple.com
NTM models each reverse diffusion step as a conditional normalizing flow with exact likelihood training, matching or beating image generation baselines in four sampling steps. A lightweight denoiser self-distilled from the model's own score function produces the four-step samples.
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