Representation learning of point cloud upsampling in global and local inputs

Tongxu Zhang; Bei Wang

doi:10.1016/j.cviu.2025.104467

ScienceGate Book Chapters

JOURNAL ARTICLE

Representation learning of point cloud upsampling in global and local inputs

Tongxu Zhang Bei Wang

Year: 2025 Journal: Computer Vision and Image Understanding Vol: 260 Pages: 104467-104467 Publisher: Elsevier BV

DOI: 10.1016/j.cviu.2025.104467

Get Full-Text PDF Get Analytical Report

Keywords:

Upsampling Point cloud Representation (politics) Computer science Point (geometry) Artificial intelligence Cloud computing Mathematics Theoretical computer science Computer vision Image (mathematics) Geometry

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.31

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

3D Shape Modeling and Analysis

Physical Sciences → Engineering → Computational Mechanics

Advanced Numerical Analysis Techniques

Physical Sciences → Engineering → Computational Mechanics

Manufacturing Process and Optimization

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Representation learning of point cloud upsampling in global and local inputs

Metrics

Topics

Related Documents

Bilevel Fusion With Local and Global Cues for Point Cloud Upsampling

Point Cloud Upsampling via Perturbation Learning

RepKPU: Point Cloud Upsampling with Kernel Point Representation and Deformation

Point-pad: Point Cloud Upsampling with Kernel Representation and Attention

Learning Efficient Rotation Representation for Point Cloud via Local-Global Aggregation