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Found 2 papers, 1 papers with code
Spherical Transformer: Adapting Spherical Signal to CNNs
To this end, the proposed method first uses local structured sampling methods such as HEALPix to construct a transformer grid by using the information of spherical points and its adjacent points, and then transforms the spherical signals to the vectors through the grid.
InSphereNet: a Concise Representation and Classification Method for 3D Object
Unlike previous methods that use points, voxels, or multi-view images as inputs of deep neural network (DNN), the proposed method constructs a class of more representative features named infilling spheres from signed distance field (SDF).
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