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NLI4VolVis:通过LLM多元代理和可编辑的3D高斯分片来实现体积可视化的自然语言交互
IEEE transactions on visualization and computer graphics
|November 21, 2025
概括
NLI4VolVis允许用户使用自然语言命令探索和编辑3D体积数据. 这一创新系统提高了科学可视化的可访问性和可用性,使复杂的数据探索更加直观.
科学领域:
- 计算机图形 计算机图形
- 科学可视化科学可视化
- 人与计算机的交互
背景情况:
- 传统的体积可视化 (VolVis) 方法在转移函数设计和计算成本方面存在局限性.
- 现有的新型视图合成技术需要广泛的用户专业知识,缺乏语义交互能力.
研究的目的:
- 推出NLI4VolVis,这是一个基于自然语言的交互式系统,用于对体积场景的探索和编辑.
- 通过直观的语言交互来弥合复杂的VolVis工具和非专家用户之间的差距.
主要方法:
- 整合多视图语义细分和视觉语言模型以理解场景.
- 开发一个多代理大型语言模型架构,配备用于意图解释和任务执行的函数调用工具.
- 对于VolVis引擎,利用3D可编辑的高斯函数,实现声明命令和工具交互.
主要成果:
- NLI4VolVis支持开放词汇对象查询,实时场景编辑和最佳视图选择.
- 该系统有助于对体积数据进行二维造型.
- 案例研究和用户研究表明,可访问性和可用性得到改善.
结论:
- NLI4VolVis显著提高了体积数据探索的可访问性和可用性.
- 自然语言交互彻底改变了用户与复杂的科学可视化数据的交互和操纵方式.
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