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GQE-Net: A graph-based quality enhancement network for point cloud color attribute
J ** applications, which
reduces interference in subsequent algorithms and improves the accuracy of plant …
reduces interference in subsequent algorithms and improves the accuracy of plant …
PathNet: Path-selective point cloud denoising
Current point cloud denoising (PCD) models optimize single networks, trying to make their
parameters adaptive to each point in a large pool of point clouds. Such a denoising network …
parameters adaptive to each point in a large pool of point clouds. Such a denoising network …
UTOPIC: uncertainty‐aware overlap prediction network for partial point cloud registration
High‐confidence overlap prediction and accurate correspondences are critical for cutting‐
edge models to align paired point clouds in a partial‐to‐partial manner. However, there …
edge models to align paired point clouds in a partial‐to‐partial manner. However, there …
A single-stage point cloud cleaning network for outlier removal and denoising
Y Li, H Sheng - Pattern Recognition, 2023 - Elsevier
As a simple, flexible and effective representation for objects, 3D point cloud has attracted
more and more attention in recent years. However, raw point clouds obtained from 3D …
more and more attention in recent years. However, raw point clouds obtained from 3D …
PC2-PU: Patch Correlation and Point Correlation for Effective Point Cloud Upsampling
Point cloud upsampling is to densify a sparse point set acquired from 3D sensors, providing
a denser representation for the underlying surface. Existing methods divide the input points …
a denser representation for the underlying surface. Existing methods divide the input points …