Camera Artist: A Multi-Agent Framework for Cinematic Language Storytelling Video Generation
Fuente:
arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2026
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| _version_ | 1866908951854972928 |
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| author | Hu, Haobo Mao, Qi Li, Yuanhang Jin, Libiao |
| author_facet | Hu, Haobo Mao, Qi Li, Yuanhang Jin, Libiao |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_09195 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Camera Artist: A Multi-Agent Framework for Cinematic Language Storytelling Video Generation Hu, Haobo Mao, Qi Li, Yuanhang Jin, Libiao Artificial Intelligence 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. |
| title | Camera Artist: A Multi-Agent Framework for Cinematic Language Storytelling Video Generation |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2604.09195 |