FRAMEWORKERS: A Dynamic Multi-Agent Framework for AI-Generated Video Production
Experiments show that FRAMEWORKERS outperforms strong LLM planners in routing accuracy, recovers reliably from runtime failures, generalizes to unseen sub-agents without retraining, and achieves higher end-to-end video quality and broader task coverage than fixed pipelines, single-agent systems, and prior multi-agent a...
Zhen-Dong Li, Lei Sun, Le-Tian Shi et al.
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