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Leveraging two-dimensional pre-trained vision transformers for three-dimensional model generation vi...

Leveraging two-dimensional pre-trained vision transformers for three-dimensional model generation vi...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3143c9ff3a0846e5bbefb25e2bfc10b7

Leveraging two-dimensional pre-trained vision transformers for three-dimensional model generation via masked autoencoders

About this item

Full title

Leveraging two-dimensional pre-trained vision transformers for three-dimensional model generation via masked autoencoders

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2025-01, Vol.15 (1), p.3164-18, Article 3164

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Although the Transformer architecture has established itself as the industry standard for jobs involving natural language processing, it still has few uses in computer vision. In vision, attention is used in conjunction with convolutional networks or to replace individual convolutional network elements while preserving the overall network design. D...

Alternative Titles

Full title

Leveraging two-dimensional pre-trained vision transformers for three-dimensional model generation via masked autoencoders

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_3143c9ff3a0846e5bbefb25e2bfc10b7

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3143c9ff3a0846e5bbefb25e2bfc10b7

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-025-87376-y

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