PointNorm: Dual Normalization is All You Need for Point Cloud Analysis. (arXiv:2207.06324v2 [cs.CV] UPDATED)

Point cloud analysis is challenging due to the irregularity of the point
cloud data structure. Existing works typically employ the ad-hoc
sampling-grouping operation of PointNet++, followed by sophisticated local
and/or global feature extractors for leveraging the 3D geometry of the point
cloud. Unfortunately, the sampling-grouping operations do not address the point
cloud's irregularity, whereas the intricate local and/or global feature
extractors led to poor computational efficiency. In this paper, we introduce a
novel DualNorm module after the sampling-grouping operation to …

analysis arxiv cloud normalization