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Subdivision-Based Mesh Convolution Networks

Subdivision-Based Mesh Convolution Networks

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2537859760

Subdivision-Based Mesh Convolution Networks

About this item

Full title

Subdivision-Based Mesh Convolution Networks

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2021-12

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Convolutional neural networks (CNNs) have made great breakthroughs in 2D computer vision. However, their irregular structure makes it hard to harness the potential of CNNs directly on meshes. A subdivision surface provides a hierarchical multi-resolution structure, in which each face in a closed 2-manifold triangle mesh is exactly adjacent to three...

Alternative Titles

Full title

Subdivision-Based Mesh Convolution Networks

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2537859760

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2537859760

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.2106.02285

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