FilmFlow：用于3D虚拟电影摄影的智能体系统
FilmFlow: Agentic System for 3D Virtual Film Cinematography
FilmFlow将自然语言或视频指令转化为3D场景的可执行相机轨迹，通过导演、解释器、侦察兵和评论家等专用智能体实现，在CinemaBench数据集上表现最佳。
Published on Oct 22
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Abstract
FilmFlow is an agentic framework that translates natural-language or video instructions into executable camera trajectories for 3D scenes using specialized director, interpreter, scout, and critic agents, evaluated on the CinemaBench dataset.
Complex camera motion is central to visual storytelling, yet translating cinematographic intent into controllable, executable camera trajectories remains challenging. We introduce FilmFlow, an agentic framework that converts natural-language instructions or reference videos into explicit camera trajectories for dynamic 3D environments. To generate these trajectories, a Director agent constructs executable camera plans by composing high-level motions from concurrent atomic operations that jointly control translation, rotation, and framing. The Director is supported by three specialized agents: an Interpreter that extracts scene-grounded cinematographic intent, a Scout that selects initial viewpoints, and a Critic that evaluates rendered results and provides visual feedback for iterative plan refinement. We also introduce CinemaBench, comprising 150 Blender scenes from self-created and licensed sources, with five camera instructions per scene for 750 text-directed tasks and 60 reference videos associated with a subset of scenes. CinemaBench supports evaluation of both text-directed camera generation and video reference-directed camera generation. Across a diverse set of evaluated baselines, FilmFlow achieves the strongest benchmark performance and the highest user preference, demonstrating effective spatial reasoning, temporal coordination, and visual composition for executable 3D cinematography.
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来源: Hugging Face Daily Papers · huggingface.co