SLIBO-Net: Floorplan Reconstruction via Slicing Box Representation with Local Geometry Regularization Supplemental Material, Chi-Han Peng

We compare our method with four competing methods in Table 1 of the main paper. Below, we provide more details about how we obtain the scores on Structured3D [6] for each method. Floor-SP [1] extracts geometry primitives from density maps using deep neural networks and optimizes the floorplan graph structure with room-wise coordinate descent. We use the evaluation score reported by [5]. MonteFloor [3] applies MCTS to select room proposals that maximize an objective function combining the density map predicted by a deep network and regularization terms on the room shapes.