Arisrei Lim

Learning Sampling Parameters for Diffusion Models

This work introduces LeSAMP, a framework for learning prompt-conditioned, timestep-varying sampling parameters, and suggests that learned sampling-parameter policies provide a complementary approach to existing post-training methods for improving diffusion model outputs.