Normalizing Trajectory Models

Researchers introduced Normalizing Trajectory Models (NTM), a new approach combining conditional normalizing flows and deep predictors to enable high-quality image generation in just four steps with exact likelihood training. NTM outperforms existing few-step diffusion methods on text-to-image tasks while maintaining a likelihood framework, and supports self-distillation for efficient sampling.