A simple and universal rotation equivariant point-cloud network

Anonymous

Keywords: Equivariant neural networks

TL;DR: We suggest simple and universal rotation equivariant architecture

Abstract: 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.

Community Implementations: [ 1 code implementation](https://www.catalyzex.com/paper/arxiv:2203.01216/code)