PU-Flow: a Point Cloud Upsampling Network with Normalizing Flows. (arXiv:2107.05893v4 [cs.CV] UPDATED)

Point cloud upsampling aims to generate dense point clouds from given sparse
ones, which is a challenging task due to the irregular and unordered nature of
point sets. To address this issue, we present a novel deep learning-based
model, called PU-Flow, which incorporates normalizing flows and weight
prediction techniques to produce dense points uniformly distributed on the
underlying surface. Specifically, we exploit the invertible characteristics of
normalizing flows to transform points between Euclidean and latent spaces and
formulate the upsampling …

arxiv cloud cv flow network