NGD-Transformer: Navigation Geodesic Distance Positional Encoding with Self-Attention Pooling for Graph Transformer on 3D Triangle Mesh

NGD-Transformer: Navigation Geodesic Distance Positional Encoding with Self-Attention Pooling for Graph Transformer on 3D Triangle Mesh

Following the significant success of the transformer in NLP and computer vision, this paper attempts to extend it to 3D triangle mesh. The aim is to determine the shape’s global representation using the transformer and capture the inherent manifold information. To this end, this paper proposes a nov...

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Bibliographic Details
Main Authors: Jiafu Zhuang, Xiaofeng Liu, Wei Zhuang
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Symmetry
Subjects:
graph transformer
3d triangle mesh
positional encoding
3d shape segmentation
3d shape classification
Online Access:https://www.mdpi.com/2073-8994/14/10/2050

Internet

https://www.mdpi.com/2073-8994/14/10/2050

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