PU-CTG: A Point Cloud Upsampling Network Using Transformer Fusion and GRU Correction

PU-CTG: A Point Cloud Upsampling Network Using Transformer Fusion and GRU Correction

Point clouds are widely used in remote sensing applications, e.g., 3D object classification, semantic segmentation, and building reconstruction. Generating dense and uniformly distributed point clouds from low-density ones is beneficial to 3D point cloud applications. The traditional methods mainly...

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Bibliographic Details
Main Authors: Tianyu Li, Yanghong Lin, Bo Cheng, Guo Ai, Jian Yang, Li Fang
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Remote Sensing
Subjects:
point cloud upsampling
generative adversarial networks
cross-transformer
gated recurrent unit
point cloud classification
Online Access:https://www.mdpi.com/2072-4292/16/3/450

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https://www.mdpi.com/2072-4292/16/3/450

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