Diverse and realistic floor plan data are essential for the development of useful computer-
aided methods in architectural design. Today's large-scale floor plan datasets predominantly …

As virtual worlds continue to rise in popularity, so do the expectations of users for the content
of virtual scenes. Virtual worlds must be large in scope and offer enough freedom of …

Artificial intelligence, and specifically the subfields of computer vision and machine learning,
has become a topic with great potential for predicting reuse patterns in the built environment …

Large-scale models, abundant data, and dense computation are the pivotal pillars of deep
neural networks. The present-day deep learning models have made significant strides in …

Urban planning often requires the visualization of city layouts based on different use cases.
Each use case can be visualized by using the automatic generation of virtual space layouts …

The synthesis of data has long been a valuable resource for training machine learning
models, offering reliability and control while reducing the reliance on real-world data …