PU-Flow: A Point Cloud Upsampling Network With Normalizing Flows
PU-Flow: A Point Cloud Upsampling Network With Normalizing Flows
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 …