3D Building

3D building modeling research focuses on efficiently and accurately creating digital representations of buildings from various data sources, including 2D plans, images, point clouds, and textual descriptions. Current efforts leverage deep learning architectures like diffusion models, convolutional neural networks, and large language models (LLMs) to generate 3D models, often incorporating semantic information for improved accuracy and detail. These advancements are significantly impacting the Architecture, Engineering, and Construction (AEC) industry by streamlining design processes, enabling more efficient urban planning, and facilitating the creation of digital twins for improved building management and analysis.