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FilmFlow: Agentic System for 3D Virtual Film Cinematography

Paper · arXiv 2610.30753 · daily list of October 23, 2026

Yiming Zhang, Jiarui Guo, Haojia Wei, Yifei Liu, Yifan Yang, Hongjie Zhang and 2 more

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Abstract · as written by the authors

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.

This is the original abstract from arXiv. It has not been summarised, translated or rewritten.

Terms in plain language

Automatic

Made by matching the words of the title and abstract against a fixed list of definitions. It does not read the paper and does not change the abstract above.

Agentic
an AI system that plans and takes several steps, often by calling tools, towards a goal.
benchmark
a fixed set of tasks or questions used to compare models on the same test.

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On arXiv, under the identifier 2610.30753: the abstract page is https://arxiv.org/abs/2610.30753 and the PDF is https://arxiv.org/pdf/2610.30753. The text on this page is the authors' abstract, not a summary.

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