Half-order Fine-Tuning for Diffusion Model: A Recursive Likelihood Ratio Optimizer

TL;DR

The probabilistic diffusion model (DM), generating content by inferencing through a recursive chain structure, has emerged as a powerful framework for visual generation. After pre-training on enormous data, the model needs to be properly aligned to meet requirements for downstream applications.

Opening excerpt from the authors’ abstract. source