AesRM introduces an expert-annotated benchmark and multi-stage trained reward models that outperform baselines in predicting video aesthetic preferences and improve alignment of video generators like Wan2.2.
Table 9: Full system prompt for AesRM-CoT
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AesRM: Improving Video Aesthetics with Expert-Level Feedback
AesRM introduces an expert-annotated benchmark and multi-stage trained reward models that outperform baselines in predicting video aesthetic preferences and improve alignment of video generators like Wan2.2.