Geometrically aware transformer for point cloud analysis
Abstract With the increasing use of 3D point cloud data in autonomous driving, robotic perception, and remote sensing, efficient and accurate point cloud analysis remains a critical challenge. This study presents PointGA, a lightweight Transformer-based model that enhances geometric perception for i...
Saved in:
| Main Authors: | Siyuan Chen, Zhiwei Fang, Siyao Wan, Ting Zhou, Chunlin Chen, Meng Wang, Qianming Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-00789-7 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Multi-Scale Geometric Feature Extraction and Global Transformer for Real-World Indoor Point Cloud Analysis
by: Yisheng Chen, et al.
Published: (2024-12-01) -
LGFaware-meshing: online mesh reconstruction from LiDAR point cloud with awareness of local geometric features
by: Yaoqian Niu, et al.
Published: (2025-06-01) -
A Hierarchical Neural Network for Point Cloud Segmentation and Geometric Primitive Fitting
by: Honghui Wan, et al.
Published: (2024-08-01) -
Fitting Geometric Shapes to Fuzzy Point Cloud Data
by: Vincent B. Verhoeven, et al.
Published: (2025-01-01) -
G&G Attack: General and Geometry-Aware Adversarial Attack on the Point Cloud
by: Geng Chen, et al.
Published: (2025-01-01)