AI RESEARCH
DirectorBench: Diagnosing Long-Form Video Generation with Personalized Multi-Agent Evaluation
arXiv CS.CV
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ArXi:2605.30090v1 Announce Type: cross Long-form video generation is rapidly moving from short, single-scene synthesis toward minute-long, multi-shot creation with narrative structure, cinematic control, audio, and cross-modal synchronization. However, evaluating such videos remains challenging, since existing benchmarks largely focus on local visual quality, short-horizon temporal consistency, or generic prompt alignment, and provide limited diagnosis of workflow failures and user-dependent preferences. We