Normalizing Trajectory Models

Normalizing Trajectory Models (NTM) model each reverse step as a conditional normalizing flow with exact likelihood training, combining shallow invertible blocks with a deep parallel predictor, and enable self-distillation for high-quality samples in four steps while matching or outperforming image generation baselines on text-to-image benchmarks.