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SceneLoom:将数据与场景背景进行通信
IEEE transactions on visualization and computer graphics
|November 24, 2025
概括
SceneLoom将数据可视化与现实世界的图像集成在一起,以实现更丰富的故事讲述. 这种由视觉语言模型 (VLM) 驱动的系统通过对齐视觉和语义来增强数据通信,提高叙事参与度.
科学领域:
- 人与计算机的交互
- 数据可视化 数据可视化
- 计算机视觉 计算机视觉
背景情况:
- 数据可视化和现实世界的图像在数据讲故事中被单独使用,限制了叙事表达力.
- 整合这些元素是具有挑战性的,因为需要精确的对齐和创造性的想法.
研究的目的:
- 为了介绍SceneLoom,一个视觉语言模型 (VLM) 驱动的系统,用于协调数据可视化与现实世界的图像.
- 为了研究设计空间的协调关系的视觉对齐和语义连贯性.
主要方法:
- SceneLoom利用VLM从图像和可视化中提取视觉和语义特征.
- 一个推理过程,包括空间组织,形状相似性,布局一致性和语义绑定地图设计.
- 一项形成性研究从视觉对齐和语义连贯性视角探索了协调关系.
主要成果:
- SceneLoom生成了情境表达,图像驱动的设计替代方案,在视觉,语义和数据维度之间保持一致.
- 该系统有助于用户探索,选择和改进设计替代方案.
- 一项用户研究验证了SceneLoom在激发创意设计和外部化方面的有效性.
结论:
- SceneLoom有效地将数据可视化和现实世界的图像联系起来,以增强数据讲故事.
- 该系统支持通过协调的视觉和语义元素来表达数据通信.
- SceneLoom激发了创造力,并有助于数据驱动的叙事设计的外部化.
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