Equivariant Spherical Deconvolution: Learning Sparse Orientation Distribution Functions from Spherical Data

Axel Elaldi, Neel Dey, Heejong Kim +1

We present a rotation-equivariant unsupervised learning framework for the sparse deconvolution of non-negative scalar fields defined on the unit sphere. Spherical signals with mult…