TPNet: a novel mesh analysis method via topology preservation and perception enhancement

DOI10.1016/j.cagd.2023.102219zbMath1523.65021OpenAlexW4378628335WikidataQ122537997 ScholiaQ122537997MaRDI QIDQ6170354

Peifang Li, Bo Fan, Yupeng Song, Fazhi He

Publication date: 12 July 2023

Published in: Computer Aided Geometric Design (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cagd.2023.102219

zbMATH Keywords

deep learning3D mesh3D shape analysisdilated convolution

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Computer-aided design (modeling of curves and surfaces) (65D17)

Cites Work

• Adaptive skin meshes coarsening for biomolecular simulation
• Generating hybrid interior structure for 3D printing
• Adaptive representation of dynamic 3D meshes for low-latency applications
• A simple and complete discrete exterior calculus on general polygonal meshes
• Multi-stable design of triangulated origami structures on cones of revolution
• D3AdvM: A direct 3D adversarial sample attack inside mesh data
• 3D2SeqViews: Aggregating Sequential Views for 3D Global Feature Learning by CNN With Hierarchical Attention Aggregation

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