PU-EVA: An Edge Vector based Approximation Solution for Flexible-scale Point Cloud Upsampling. (arXiv:2204.10750v1 [cs.CV])

High-quality point clouds have practical significance for point-based
rendering, semantic understanding, and surface reconstruction. Upsampling
sparse, noisy and nonuniform point clouds for a denser and more regular
approximation of target objects is a desirable but challenging task. Most
existing methods duplicate point features for upsampling, constraining the
upsampling scales at a fixed rate. In this work, the flexible upsampling rates
are achieved via edge vector based affine combinations, and a novel design of
Edge Vector based Approximation for Flexible-scale Point …

approximation arxiv cloud cv edge scale solution vector