GarmentCodeData: A Dataset of 3D Made-to-Measure Garments With Sewing Patterns
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Author / Producer
Date
2024-05-29
Publication Type
Dataset
ETH Bibliography
yes
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Abstract
Recent research interest in the learning-based processing of garments, from virtual fitting to generation and reconstruction, stumbles on a scarcity of high-quality public data in the domain. We contribute to resolving this need by presenting the first large-scale synthetic dataset of 3D made-to-measure garments with sewing patterns, as well as its generation pipeline. GarmentCodeData contains 115,000 data points that cover a variety of designs in many common garment categories: tops, shirts, dresses, jumpsuits, skirts, pants, etc., fitted to a variety of body shapes sampled from a custom statistical body model based on CAESAR, as well as a standard reference body shape, applying three different textile materials.
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Editor
Contributors
Contact person : Korosteleva, Maria
Project leader: Sorkine-Hornung, Olga
Research group: Sorkine-Hornung, Olga
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Journal / series
Volume
Pages / Article No.
Publisher
ETH Zurich
Event
Edition / version
Methods
Software
https://github.com/maria-korosteleva/GarmentCode
Geographic location
Date collected
Date created
Subject
Garment modeling; Sewing Patterns; Deep Learning
Organisational unit
03911 - Sorkine Hornung, Olga / Sorkine Hornung, Olga
Notes
Funding
101003104 - Sustainable Algorithmic Modeling of Personalized Garments (EC)
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