arXiv:2608.11424cs.LGcs.CV2026-08

点击即生成:用AI辅助快速修正建筑矢量地图

Click2Poly: A VLM for vector mapping buildings and walls

论文配图:Click2Poly: A VLM for vector mapping buildings and walls
图 1 · 摘自论文原文
  • 用户点击,AI自动修改建筑或墙体矢量图层
  • 基于Florence-2 VLM,实现人机协同编辑
  • 适配真实生产环境,提升地图制图效率

准确的建筑与墙体矢量地图绘制对地理空间应用至关重要,但仍是劳动密集型任务。尽管深度学习方法提升了自动提取能力,为满足制图标准,仍需人工进行质量控制并处理复杂情况。我们提出Click2Poly,一种人机协同的AI助手,旨在加速这一手动修正环节。通过扩展Florence-2视觉语言模型(VLM),Click2Poly可响应用户点击,直接编辑建筑或墙体的矢量图层。作为QGIS插件实现,Click2Poly在真实生产环境中显著加快了建筑与墙体矢量图层的手动编辑流程。

原文摘要 · Abstract (English)

Accurate vector mapping of buildings and walls is critical for geospatial applications but remains a labor-intensive process. While recent deep learning methods have improved automatic extraction, in order to meet cartographic standards they always require a human to perform quality control and fix complex cases in the extraction. We present Click2Poly, a human-in-the-loop AI assistant designed to speed up this manual step. Extending the Florence-2 Vision Language Model (VLM), Click2Poly responds to user clicks by editing the building or wall vector layer directly. Implemented as a QGIS plugin, Click2Poly speeds up the manual editing of building and wall vector layers in a real-world production environment.

矢量地图人机协同视觉语言模型

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