Normalizing Trajectory Models

This post introduces Normalizing Trajectory Models (NTM), a novel approach to generative modeling that treats each reverse step as a conditional normalizing flow. This allows for exact likelihood training over the entire generative trajectory, enabling self-distillation into a lightweight denoiser that produces high-quality samples in just four steps. NTM matches or outperforms existing baselines on text-to-image benchmarks while retaining exact likelihood.