Better Call CineCrew: Consistent Ultra-Long Narrative-to-Film Generation

• URL: http://arxiv.org/abs/2609.07720v1
• Date: Mon, 07 Sep 2026 16:33:14 GMT
• Title: Better Call CineCrew: Consistent Ultra-Long Narrative-to-Film Generation
• Abstract summary: Long-form narrative-to-film generation requires shot-level controllability and cross-clip consistency.<n>We introduce a structured orchestration layer for film-oriented script-to-video generation.
• Score: 53.27387848819395
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Long-form narrative-to-film generation requires shot-level controllability and cross-clip consistency in both visual identity and character behavior-requirements that remain difficult to satisfy with current prompt-based workflows. A core reason existing workflows remain brittle is the lack of a structured intermediate layer between scripts and video models, especially when screenplays are underspecified at key cinematic decision points. We introduce a structured orchestration layer for film-oriented script-to-video generation, implemented as a multi-agent framework that operates between scripts and off-the-shelf video generators. The layer is centered on FilmDSL, a film-oriented domain-specific language that makes cinematic constraints explicit, including shot and camera directives, asset and continuity requirements, and persona cues, so that agents coordinate through a shared structured specification for planning, generation, critique, and repair. Specifically, a generation agent constructs asset packs and storyboard keyframes that anchor composition before clip-by-clip synthesis, while a critic agent produces structured QA signals and triggers targeted refinement without retraining the base model. Experiments on TV-style segments show improved controllability and consistency over text-only and reference-only baselines.

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