Traditional visual storytelling is complex, requiring specialized knowledge and substantial resources, yet often constrained by human creativity and creation precision. While Large Language Models (LLMs) enhance visual storytelling, current approaches often limit themselves to 2D visuals or oversimplify stories through motion synthesis and behavioral simulation, failing to create comprehensive, multi-dimensional narratives. To this end, we present Story3D-Agent, a pioneering approach that leverages the capabilities of LLMs to transform provided narratives into 3D-rendered visualizations. By integrating procedural modeling, our approach enables precise control over multi-character actions and motions, as well as diverse decorative elements, ensuring the long-range and dynamic 3D representation. Furthermore, our method supports narrative extension through logical reasoning, ensuring that generated content remains consistent with existing conditions. We have thoroughly evaluated our Story3D-Agent to validate its effectiveness, offering a basic framework to advance 3D story representation.

本研究解决了传统视觉叙事中的复杂性和资源限制问题。通过引入一种创新的方法Story3D-Agent，利用大型语言模型将叙事转化为3D视觉效果，从而实现对多角色动作和动态元素的精确控制。研究结果表明，该方法不仅增强了叙事的一致性，还为3D故事表现的发展奠定了基础。

Story3D-Agent：利用大型语言模型探索3D叙事可视化