Better Call CineCrew：一致的超长叙事到电影生成
Better Call CineCrew: Consistent Ultra-Long Narrative-to-Film Generation
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中文总结 AI 辅助
针对长篇叙事到电影生成中镜头可控性和跨片段一致性的难题，提出以FilmDSL为核心的多智能体编排层，通过结构化规范协调生成与批评智能体，提升生成质量。
中文摘要 AI 辅助
长篇叙事到电影的生成需要在镜头级别上实现可控性，并在视觉身份和角色行为方面保持跨片段的一致性——这些要求对于当前基于提示词的工作流来说仍然难以满足。现有工作流脆弱的一个核心原因是，在剧本和视频模型之间缺乏结构化的中间层，尤其是当剧本在关键电影决策点上规定不足时。我们引入了一个面向电影的脚本到视频生成的结构化编排层，实现为一个多智能体框架，在脚本和现成的视频生成器之间运作。该层以FilmDSL为核心，这是一种面向电影的领域特定语言，使电影约束明确化，包括镜头和摄像机指令、资产和连续性要求以及角色提示，从而使智能体通过共享的结构化规范进行协调，用于规划、生成、批评和修复。具体来说，一个生成智能体构建资产包和故事板关键帧，在逐片段合成之前锚定构图，而一个批评智能体产生结构化的QA信号并触发有针对性的细化，而无需重新训练基础模型。在电视风格片段上的实验表明，与仅文本和仅参考的基线相比，可控性和一致性有所提高。
英文摘要
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.
发表机构
- University of Massachusetts Amherst（马萨诸塞大学阿默斯特分校）
- Massachusetts Institute of Technology（麻省理工学院）
机构由 AI 辅助整理，请以论文原文为准。
