arXiv · cs.AI · Juan Diego Casta\~no Molina, Borja Garc\'ia de Soto · 9 小时前模型评分31
Pano2BIM：用平面图与单张 360° 照片生成竣工 BIM 的几何约束视觉语言智能体
Pano2BIM: A Geometry-Constrained Vision-Language Agent for As-Built BIM Generation from a Floor Plan and a Single 360$^\circ$ Image
导读
Pano2BIM 是一个几何约束的视觉语言模型（VLM，Vision-Language Model）智能体，可依据已知房间尺寸的平面图和单张 360° 照片生成 LOD 200 的近似 IFC4 模型。
分类置信度
中 · 待人工复核
- 只有单一媒体来源，需要人工复核。
来源级别：媒体与个人
应用领域：制造与工业
事件类型：研究发布
证据摘录
- “This paper presents Pano2BIM, a geometry-constrained VLM agent that generates approximate IFC4 models at Level of Development (LOD) 200 from a floor plan with known room dimensions and a single 360-degree photograph.”
- “An optional second stage enriches the presentation model through render-and-compare feedback without modifying the primary furniture geometry.”
- “In a preliminary evaluation on one laboratory, the proposed Measure workflow achieved a mean furniture-footprint intersection over union (IoU) of 0.53, compared with 0.44 for a single-response baseline using identical modeling instructions, and matched an average of 4.0 versus 2.3 of seven fixed furniture elements across three runs.”
- “The measurement stage averaged 3.8 minutes and USD 1.63 in API costs per run, while the complete demonstrated workflow required approximately 42 minutes and USD 11.”
来源：arXiv · cs.AI · arxiv.org