He Wang

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

Inspired by preference learning in large language models, ABC (Alignment by Classification), a simple yet effective framework for aligning diffusion models with human preferences is proposed, offering a scalable and robust solution for preference-based text-to-image fine-tuning.