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A Comparative Study of Feature Expansion Unit for 3D Point Cloud Upsampling. (arXiv:2205.09594v1 [cs.CV])
May 20, 2022, 1:10 a.m. | Qiang Li, Tao Dai, Shu-Tao Xia
cs.CV updates on arXiv.org arxiv.org
Recently, deep learning methods have shown great success in 3D point cloud
upsampling. Among these methods, many feature expansion units were proposed to
complete point expansion at the end. In this paper, we compare various feature
expansion units by both theoretical analysis and quantitative experiments. We
show that most of the existing feature expansion units process each point
feature independently, while ignoring the feature interaction among different
points. Further, inspired by upsampling module of image super-resolution and
recent success of …
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