Stanford AI Researchers Propose ‘Point2Cyl’: A Supervised Neural Network Transforming A Raw 3D Point Cloud To A Set of Extrusion Cylinders

If an item was created before the rise of digital manufacturing, its associated CAD model is not available. There is a need to reverse engineer point clouds into primitives that CAD designers can use and interpret during the modeling process. To change 3D data in shape editing software and expand their usage in many downstream […]

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