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A simple and universal rotation equivariant point-cloud network
Ben Finkelshtein · Chaim Baskin · Haggai Maron · Nadav Dym

Fri Jul 22 01:45 PM -- 03:00 PM (PDT) @

Equivariance to permutations and rigid motions is an important inductive bias for various 3D learning problems. Recently it has been shown that the equivariant Tensor Field Network architecture is universal- it can approximate any equivariant function. In this paper we suggest a much simpler architecture, prove that it enjoys the same universality guarantees and evaluate its performance on Modelnet40.The code to reproduce our experiments is available at \url{https://github.com/simpleinvariance/UniversalNetwork}

Author Information

Ben Finkelshtein (Technion)
Chaim Baskin (Technion)
Haggai Maron
Nadav Dym (Technion)

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