Nice work from Shenzhen, Carleton, and Simon Fraser Universities, titled Graph2Plan: Learning Floorplan Generation from Layout Graphs, along the lines of #HouseGAN. Via @alfarok.
Our deep neural network Graph2Plan is a learning framework for automated floorplan generation from layout graphs. The trained network can generate floorplans based on an input building boundary only (a-b), like in previous works. In addition, we allow users to add a variety of constraints such as room counts (c), room connectivity (d), and other layout graph edits. Multiple generated floorplans which fulfill the input constraints are shown.
