构建1.7万张住宅平面图数据集，支持向量与图结构分析。
ResPlan: A Large-Scale Vector-Graph Dataset of 17,000 Residential Floor Plans
- 提供带矢量几何与连接图的住宅平面图，含17类功能空间标注
- 平均每张图8.1个功能房间、9.2个图节点，覆盖公寓到别墅多种类型
- 适用于平面生成、语义标注与图转换任务，代码数据开源
我们提出ResPlan，一个包含17,000张住宅平面图的大规模数据集，具备矢量几何、房间连通图和度量尺度坐标。每张图标注墙、门、窗及17类功能空间（厨房、卧室、浴室、阳台等），以像素与米为单位的多边形表示。每个平面图配备四类边：via_door、adjacency、direct、via_window，支持基于图的生成与空间推理。相比RPLAN（Wu et al., 2019）仅提供栅格图像、每图约6.7个房间且最多8个功能间，以及MSD（van Engelenburg et al., 2024）需额外提取的楼板级数据，ResPlan提供自包含的单元级布局，平均含8.1个功能房间和9.2个图节点，涵盖公寓、别墅及多翼住宅。数据集发布包含数据、加载与后处理代码、标准划分，以及三项基准任务的基线：语义房间标注、受限平面生成、平面到图转换。数据与代码已公开。
原文摘要 · Abstract (English)
We introduce ResPlan, a dataset of 17,000 residential floor plans with vector geometry, room-connectivity graphs, and metric-scale coordinates. Each plan annotates walls, doors, windows, and functional spaces (kitchens, bedrooms, bathrooms, balconies, and others) under a 17-class taxonomy, with polygons in pixel and meter coordinates. Four typed edges (via_door, adjacency, direct, via_window) accompany every plan, supporting graph-based generation and spatial reasoning. Compared with RPLAN (Wu et al., 2019), which is raster-only with about 6.7 rooms per plan and an observed maximum of 8 functional rooms in our converted split, and MSD (van Engelenburg et al., 2024), which is floor-plate-level and requires extraction, ResPlan provides self-contained unit-level layouts averaging 8.1 functional rooms and 9.2 graph nodes, spanning apartments, villas, and multi-wing residences. The release includes the dataset, loading and post-processing code, a canonical split, and baselines for three benchmark tasks: semantic room labeling, constrained floor-plan generation, and plan-to-graph extraction. The dataset and code are publicly available.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。