AIBullisharXiv – CS AI · 9h ago7/10
🧠
ART for Diffusion Sampling: A Reinforcement Learning Approach to Timestep Schedule
Researchers introduce Adaptive Reparameterized Time (ART), a reinforcement learning approach that optimizes timestep scheduling for diffusion models to improve sample generation efficiency. The method reduces computational costs while maintaining image quality, with demonstrated improvements on benchmark datasets and cross-dataset transferability.