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arXiv cs.GR
arXiv cs.GR Research
· 4 months, 3 weeks ago • Lanshan He, Haozhou Pang, Qi Gan, Xin Shen, Ziwei Zhang, Yibo Liu, Gang Fang, Bo Liu, Kai Sheng, Shengfeng Zeng, Chaofan Li, Zhen Hui, Keer Zhou, Lan Zhou, Shujun Dai

Cutscene Agent: An LLM Agent Framework for Automated 3D Cutscene Generation

Briefing

Cutscene Agent is a new framework that automates the complex process of 3D cutscene generation, traditionally a labor-intensive task. This system leverages LLM agents to facilitate bidirectional communication with game engines, allowing for real-time adjustments and refinements. Developers can expect to see a reduction in production timelines, which could free up resources for more creative tasks.

The framework includes a multi-agent system for directing various aspects of cutscene creation, such as animation and sound design, all while utilizing a new evaluation benchmark, CutsceneBench. This innovation is particularly relevant for artists and designers, as it streamlines the collaboration process and enhances the quality of cinematic storytelling in games.

“Cutscene generation requires long-horizon, multi-step orchestration.”

— Authors · Describing the complexity of cutscene production.
Original source
Read on arXiv cs.GR
At a glance
what
Introduction of Cutscene Agent framework for automated cutscene generation
who
Developed by Lanshan He and 14 co-authors
when
Submitted on 28 April 2026
impact
Reduces production time for cutscenes, enhancing workflow for designers and animators
Signal Positive

This framework offers significant improvements in cutscene production efficiency.

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