2 citations · 2 across the 3 of their papers we have counts for
3 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…
cs.GR2020★ 2 cited
STD-Net: Structure-preserving and Topology-adaptive Deformation Network for 3D Reconstruction from a Single Image
Aihua Mao, Canglan Dai, Lin Gao +2
3D reconstruction from a single view image is a long-standing prob-lem in computer vision. Various methods based on different shape representations(such as point cloud or volumetri…