2 papers
cs.CV2022
PD-Flow: A Point Cloud Denoising Framework with Normalizing Flows
Aihua Mao, Zihui Du, Yu-Hui Wen +2
Point cloud denoising aims to restore clean point clouds from raw observations corrupted by noise and outliers while preserving the fine-grained details. We present a novel deep le…
cs.CV2021
PU-Flow: a Point Cloud Upsampling Network with Normalizing Flows
Aihua Mao, Zihui Du, Junhui Hou +3
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 t…