3d, Deep Learning, Careers.
instead of gliding across a grid. These “kernel points” are employed to inspect a point cloud, weighing the attributes of close-by points against their relationships with the kernel points. This is the core of the KPConv framework, which enables learning directly from random and scarce 3D data,