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Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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Dataset of 3D Garments with Sewing Patterns

Authors: Korosteleva Maria; Lee Sung-Hee;

Dataset of 3D Garments with Sewing Patterns

Abstract

The Dataset of 3D Garments with Sewing patterns contains more than 23500 3D garment models with their corresponding sewing patterns, each representing unique garment design. The upload is organized by type for the 12 garment types of the train group, and the test.zip contains garments of 9 types from the test group. The detailed documentation of the dataset is provided in the accompanying Datasheet. Garment samples are obtained using the Garment Pattern Generator (available on GitHub) as presented in the paper Generating Datasets of 3D Garments with Sewing Patterns (NeurIPS 2021 Track on Datasets and Benchmarks)

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Keywords

neurips2021, sewing patterns, garments, deep learning

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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