AI RESEARCH
SIPO: Stabilized and Improved Preference Optimization for Aligning Diffusion Models
arXiv CS.LG
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ArXi:2505.21893v3 Announce Type: replace Preference learning has garnered extensive attention as an effective technique for aligning diffusion models with human preferences in visual generation. However, existing alignment approaches such as Diffusion-DPO suffer from two fundamental challenges