2025
Training-Free Diffusion Model Alignment with Sampling Demons
ICLR 2025poster
Aligning diffusion models with user preferences has been a key challenge. Existing methods for aligning diffusion models either require retraining or are limited to differentiable reward functions. To address these limitations, we propose a stochastic optimization approach, dubbed *Demon*, to guide…