PU-GACNet: Graph Attention Convolution Network for Point Cloud Upsampling

Bing Han; Xinyun Zhang; Shuang Ren

doi:10.1016/j.imavis.2021.104371

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JOURNAL ARTICLE

PU-GACNet: Graph Attention Convolution Network for Point Cloud Upsampling

Bing Han Xinyun Zhang Shuang Ren

Year: 2022 Journal: Image and Vision Computing Vol: 118 Pages: 104371-104371 Publisher: Elsevier BV

DOI: 10.1016/j.imavis.2021.104371

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Keywords:

Upsampling Point cloud Computer science Feature (linguistics) Inference Convolution (computer science) Pipeline (software) Graph Cloud computing Point (geometry) Artificial intelligence Feature extraction Computer vision Pattern recognition (psychology) Theoretical computer science Mathematics Image (mathematics) Geometry

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3D Shape Modeling and Analysis

Physical Sciences → Engineering → Computational Mechanics

3D Surveying and Cultural Heritage

Physical Sciences → Earth and Planetary Sciences → Geology

Remote Sensing and LiDAR Applications

Physical Sciences → Environmental Science → Environmental Engineering

PU-GACNet: Graph Attention Convolution Network for Point Cloud Upsampling

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