2025
Towards a mathematical theory for consistency training in diffusion models
AISTATS 2025poster
Consistency models, which were proposed to mitigate the high computational overhead during the sampling phase of diffusion models, facilitate single-step sampling while attaining state-of-the-art empirical performance. When integrated into the training phase, consistency models attempt to train a se…