{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/garmentcodedata-a-dataset-of-3d-made-to","title":"GarmentCodeData: A Dataset of 3D Made-to-Measure Garments With Sewing Patterns","arxiv_id":"2405.17609","date":"2024-05-27","proceeding":null,"authors":["Maria Korosteleva","Timur Levent Kesdogan","Fabian Kemper","Stephan Wenninger","Jasmin Koller","Yuhan Zhang","Mario Botsch","Olga Sorkine-Hornung"],"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. To enable the creation of datasets of such complexity, we introduce a set of algorithms for automatically taking tailor's measures on sampled body shapes, sampling strategies for sewing pattern design, and propose an automatic, open-source 3D garment draping pipeline based on a fast XPBD simulator, while contributing several solutions for collision resolution and drape correctness to enable scalability. Project Page: https://igl.ethz.ch/projects/GarmentCodeData/","url_abs":"https://arxiv.org/abs/2405.17609v3","url_pdf":"https://arxiv.org/pdf/2405.17609v3.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"garmentcodedata-a-dataset-of-3d-made-to","repo_url":"https://github.com/maria-korosteleva/garmentcode","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null},{"paper_slug":"garmentcodedata-a-dataset-of-3d-made-to","repo_url":"https://github.com/yangyucheng000/University/tree/main/model-3/sew","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"mindspore","reach":null}],"tasks":[],"methods":[{"method_slug":"set","method_name":"SET"}],"datasets_introduced":[{"slug":"garmentcodedata","name":"GarmentCodeData","full_name":"GarmentCodeData: A Dataset of 3D Made-to-Measure Garments With Sewing Patterns"}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/2405.17609","atlas_url":"https://app.syntology.ai/?focus=2405.17609","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}