Aligning Few-Step Diffusion Models with Dense Reward Difference Learning
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Few-step diffusion models enable efficient high-resolution image synthesis but struggle to align with specific downstream objectives due to limitations of existing reinforcement learning (RL) methods in low-step regimes with limited state spaces and suboptimal... ...
