Film set design plays a pivotal role in cinematic storytelling and shaping the visual atmosphere. However, the traditional process depends on expert-driven manual modeling, which is labor-intensive and time-consuming. To address this issue, we introduce FilmSceneDesigner, an automated scene generation system that emulates professional film set design workflow. Given a natural language description, including scene type, historical period, and style, we design an agent-based chaining framework to generate structured parameters aligned with film set design workflow, guided by prompt strategies that ensure parameter accuracy and coherence. On the other hand, we propose a procedural generation pipeline which executes a series of dedicated functions with the structured parameters for floorplan and structure generation, material assignment, door and window placement, and object retrieval and layout, ultimately constructing a complete film scene from scratch. Moreover, to enhance cinematic realism and asset diversity, we construct SetDepot-Pro, a curated dataset of 6,862 film-specific 3D assets and 733 materials. Experimental results and human evaluations demonstrate that our system produces structurally sound scenes with strong cinematic fidelity, supporting downstream tasks such as virtual previs, construction drawing and mood board creation.

翻译：电影布景设计在电影叙事和塑造视觉氛围中起着关键作用。然而，传统流程依赖于专家驱动的手动建模，既费时又费力。为解决这一问题，我们提出了FilmSceneDesigner，一个模拟专业电影布景设计工作流程的自动化场景生成系统。给定包含场景类型、历史时期和风格的自然语言描述，我们设计了一个基于智能体的链式框架，在提示策略的引导下生成与电影布景设计流程对齐的结构化参数，确保参数的准确性和一致性。另一方面，我们提出了一种程序化生成管线，利用结构化参数执行一系列专用功能，包括平面图与结构生成、材质分配、门窗布置以及物体检索与布局，最终从零开始构建完整的电影场景。此外，为增强电影真实感和资产多样性，我们构建了SetDepot-Pro，一个包含6,862个电影专用3D资产和733种材质的精选数据集。实验结果与人工评估表明，我们的系统能够生成结构合理且具有高度电影保真度的场景，支持虚拟预演、施工图绘制和情绪板创建等下游任务。