<ul><li>Recent advances in video generation models have highlighted the need for effective evaluation.</li><li>Automated evaluation metrics lack high-level semantic understanding and reasoning capabilities for video.</li><li>To address this, GRADEO introduces a video evaluation model that uses multi-step reasoning.</li><li>Experiments show that GRADEO aligns better with human evaluations, revealing the limitations of current video generation models.</li></ul>

GRADEO: Towards Human-Like Evaluation for Text-to-Video Generation via Multi-Step Reasoning

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