most citedAligning Few-Step Diffusion Models with Dense Reward Difference Learning

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cs.LG2026★ 2 cited

Aligning Few-Step Diffusion Models with Dense Reward Difference Learning

Ziyi Zhang, Li Shen, Sen Zhang +6

Few-step diffusion models enable efficient high-resolution image synthesis but struggle to align with specific downstream objectives due to limitations of existing reinforcement le…