CamPilot: A Multi-Agent Cinematic Assistant for Camera-Controlled Movie Generation

• URL: http://arxiv.org/abs/2609.10943v1
• Date: Thu, 10 Sep 2026 01:06:14 GMT
• Title: CamPilot: A Multi-Agent Cinematic Assistant for Camera-Controlled Movie Generation
• Abstract summary: CamPilot is a framework that integrates cinematographic planning and camera-work control to produce coherent, logically structured, and human-aesthetic movies.<n>Our results show that CamPilot outperforms state-of-the-art text-to-movie generation methods on cinematographic control and quality.
• Score: 18.03909645687327
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The integration of large language models (LLMs) into video generation has enabled rapid text-to-video creation and improved visual quality. However, it still falls short of professional filmmaking, where cinematographic language is less refined than human-crafted camera work and multi-shot continuity remains challenging. To address these limitations, we introduce CamPilot, a multi-agent framework that integrates cinematographic planning and camera-work control to produce more coherent, logically structured, and human-aesthetic movies. CamPilot adopts a GRPO-based learning paradigm to learn camera work planning from 14K real-world professional movies, internalizing motion patterns and composition principles that support reasoning over shooting techniques (e.g., camera angle, motion, and focal behavior) and cross-shot relationships for controllable camera-viewpoint generation. Multiple agents further collaborate and evolve to improve overall output quality. To support this work and further studies in this domain, we establish CamEval, a benchmark for evaluating camera work quality and cinematic engagement. Empirical results show that CamPilot outperforms state-of-the-art text-to-movie generation methods on cinematographic control and quality, highlighting the impact of professional camera design on movie generation.

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