The Script is All You Need: An Agentic Framework for Long-Horizon Dialogue-to-Cinematic Video Generation

TL;DR

This paper introduces an agentic framework that translates dialogue into cinematic scripts and orchestrates video generation to produce long, coherent videos, bridging the semantic gap in text-to-video synthesis.

Contribution

We propose ScripterAgent and DirectorAgent, along with ScriptBench and new evaluation metrics, to improve long-horizon, dialogue-driven cinematic video generation.

Findings

Enhanced script faithfulness and temporal coherence in generated videos

Introduction of ScriptBench, a large-scale multimodal benchmark

Identification of a trade-off between visual spectacle and script adherence

Abstract

Recent advances in video generation have produced models capable of synthesizing stunning visual content from simple text prompts. However, these models struggle to generate long-form, coherent narratives from high-level concepts like dialogue, revealing a ``semantic gap'' between a creative idea and its cinematic execution. To bridge this gap, we introduce a novel, end-to-end agentic framework for dialogue-to-cinematic-video generation. Central to our framework is ScripterAgent, a model trained to translate coarse dialogue into a fine-grained, executable cinematic script. To enable this, we construct ScriptBench, a new large-scale benchmark with rich multimodal context, annotated via an expert-guided pipeline. The generated script then guides DirectorAgent, which orchestrates state-of-the-art video models using a cross-scene continuous generation strategy to ensure long-horizon coherence. Our comprehensive evaluation, featuring an AI-powered CriticAgent and a new Visual-Script Alignment (VSA) metric, shows our framework significantly improves script faithfulness and temporal fidelity across all tested video models. Furthermore, our analysis uncovers a crucial trade-off in current SOTA models between visual spectacle and strict script adherence, providing valuable insights for the future of automated filmmaking.