Towards Automating the Retrospective Generation of BIM Models: A Unified Framework for 3D Semantic Reconstruction of the Built Environment
This addresses the lack of scalable frameworks for BIM conversion in construction, potentially automating a key bottleneck.
The paper tackles the challenge of automating Building Information Modeling (BIM) by introducing SRBIM, a unified semantic reconstruction architecture for generating BIM from 3D models, with effectiveness demonstrated through extensive evaluations.
The adoption of Building Information Modeling (BIM) is beneficial in construction projects. However, it faces challenges due to the lack of a unified and scalable framework for converting 3D model details into BIM. This paper introduces SRBIM, a unified semantic reconstruction architecture for BIM generation. Our approach's effectiveness is demonstrated through extensive qualitative and quantitative evaluations, establishing a new paradigm for automated BIM modeling.