ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds

26 Mar 2020Gopal SharmaDifan LiuEvangelos KalogerakisSubhransu MajiSiddhartha ChaudhuriRadomír Měch

We propose a novel, end-to-end trainable, deep network called ParSeNet that decomposes a 3D point cloud into parametric surface patches, including B-spline patches as well as basic geometric primitives. ParSeNet is trained on a large-scale dataset of man-made 3D shapes and captures high-level semantic priors for shape decomposition... (read more)

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