Researchers introduce Normalizing Trajectory Models for four-step image generation with exact trajectory likelihoodMachine translation

Researchers introduce Normalizing Trajectory Models (NTM), which models each image-generation step as a conditional normalizing flow and uses exact likelihood training. The paper reports that NTM matches or outperforms strong baselines on text-to-image benchmarks in four sampling steps while retaining exact likelihood over the generative trajectory; the supplied material gives no scores.