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Benchmarking Spatial Relationships in Text-to-Image Generation

Benchmarking Spatial Relationships in Text-to-Image Generation

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2756545881

Benchmarking Spatial Relationships in Text-to-Image Generation

About this item

Full title

Benchmarking Spatial Relationships in Text-to-Image Generation

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2023-10

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Spatial understanding is a fundamental aspect of computer vision and integral for human-level reasoning about images, making it an important component for grounded language understanding. While recent text-to-image synthesis (T2I) models have shown unprecedented improvements in photorealism, it is unclear whether they have reliable spatial understa...

Alternative Titles

Full title

Benchmarking Spatial Relationships in Text-to-Image Generation

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2756545881

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2756545881

Other Identifiers

E-ISSN

2331-8422

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