Xiaolu Wei

Aligning Text-to-Image Diffusion Models to Human Preference by Classification

Text-to-image diffusion models are typically trained on large-scale web data, often resulting in outputs that misalign with human preferences. Inspired by preference learning in large language models, we propose ABC (Alignment by Classification), a simple yet effective framework for aligning diffus…