Automatic Reconstruction of Semantic 3D Models from 2D Floor Plans
This addresses the need for efficient digitalization of building layouts for construction and maintenance, but it is incremental as it builds on existing vectorization methods.
The paper tackles the problem of manually reconstructing 3D BIM models from 2D floor plans, which is cumbersome and error-prone, by presenting a pipeline that achieves state-of-the-art results on the CubiCasa5k dataset and shows good generalization.
Digitalization of existing buildings and the creation of 3D BIM models for them has become crucial for many tasks. Of particular importance are floor plans, which contain information about building layouts and are vital for processes such as construction, maintenance or refurbishing. However, this data is not always available in digital form, especially for older buildings constructed before CAD tools were widely available, or lacks semantic information. The digitalization of such information usually requires manual work of an expert that must reconstruct the layouts by hand, which is a cumbersome and error-prone process. In this paper, we present a pipeline for reconstruction of vectorized 3D models from scanned 2D plans, aiming at increasing the efficiency of this process. The method presented achieves state-of-the-art results in the public dataset CubiCasa5k, and shows good generalization to different types of plans. Our vectorization approach is particularly effective, outperforming previous methods.