[2604.09195] Camera Artist: A Multi-Agent Framework for Cinematic Language Storytelling Video Generation

Computer Science > Artificial Intelligence arXiv:2604.09195 (cs) [Submitted on 10 Apr 2026] Title:Camera Artist: A Multi-Agent Framework for Cinematic Language Storytelling Video Generation Authors:Haobo Hu, Qi Mao, Yuanhang Li, Libiao Jin View a PDF of the paper titled Camera Artist: A Multi-Agent Framework for Cinematic Language Storytelling Video Generation, by Haobo Hu and 3 other authors View PDF HTML (experimental) Abstract:We propose Camera Artist, a multi-agent framework that models a real-world filmmaking workflow to generate narrative videos with explicit cinematic language. While recent multi-agent systems have made substantial progress in automating filmmaking workflows from scripts to videos, they often lack explicit mechanisms to structure narrative progression across adjacent shots and deliberate use of cinematic language, resulting in fragmented storytelling and limited filmic quality. To address this, Camera Artist builds upon established agentic pipelines and introduces a dedicated Cinematography Shot Agent, which integrates recursive storyboard generation to strengthen shot-to-shot narrative continuity and cinematic language injection to produce more expressive, film-oriented shot designs. Extensive quantitative and qualitative results demonstrate that our approach consistently outperforms existing baselines in narrative consistency, dynamic expressiveness, and perceived film quality. Subjects: Artificial Intelligence (cs.AI) Cite as: arXiv:2604.09195 [c...