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Step Back to Move Forward: Reflection-Aware Preference Optimization for Visual Generation
Diffusion models have become the mainstream paradigm for modern visual generation and have substantially advanced multimedia content synthesis, especially in text-to-image and text-to-video tasks. To further align such generative models with human preferences, reinforcement learning (RL) has recentl
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