SPPSFormer uses boundary-accurate, uniform superpoints plus a Transformer-FourierKAN decoder and geometric postprocessing to achieve state-of-the-art roof plane segmentation on RoofN3D and Building3D.
A local tangent plane distance-based approach to 3d point cloud segmentation via clustering,
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SPPSFormer: High-quality Superpoint-based Transformer for Roof Plane Instance Segmentation from Point Clouds
SPPSFormer uses boundary-accurate, uniform superpoints plus a Transformer-FourierKAN decoder and geometric postprocessing to achieve state-of-the-art roof plane segmentation on RoofN3D and Building3D.