MAY 13, 2020


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.

Read the paper on Arxiv.

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