Official implementation of Generating Datasets of 3D Garments with Sewing Patterns (accepted to NeurIPS 2021 Dataset and Benchmarks Track).

• Nov. 21, 2022: switched to using Maya 2022+. NOTE: Support for earlier versions is removed. Use the state before the last merge to use the generator with Maya below 2022

Using this data generator, we created a Dataset of 3D Garments with Sewing patterns consisting of 19 garment types and more then 20 000 garment samples.

The dataset is available on Zenodo: https://doi.org/10.5281/zenodo.5267549.

If you have problems, questions, or suggestions regarding the dataset, please open an issue with dataset label.

Provided in ./docs folder

• Dependencies and Installation instructions
• Configuring dataset generation - from sewing pattern template to physics simulation components.
• Running data generation - getting all the steps right & additional helpful operations.
• Sewing pattern template specification - spec example with comments to all the elements.

If you are using our system in your research, consider citing our paper:

@inproceedings{KorostelevaGarmentData,
 author = {Korosteleva, Maria and Lee, Sung-Hee},
 booktitle = {Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks},
 editor = {J. Vanschoren and S. Yeung},
 pages = {},
 title = {Generating Datasets of 3D Garments with Sewing Patterns},
 url = {https://datasets-benchmarks-proceedings.neurips.cc/paper/2021/file/013d407166ec4fa56eb1e1f8cbe183b9-Paper-round1.pdf},
 volume = {1},
 year = {2021}
}

We welcome contributions of bug fixes, features, and new assets (templates, scenes, body models, simulation properties). Please, create a Pool Request if you wish to contribute.

☝ All the new code and assets will be shared here under the MIT license. Please, ensure that you hold the rights to distribute your artifacts like that. The authors do not take the responsibility of licensing violations for artifacts contributed by users. Thank you for your understanding 😊

• Reformat template spec description for easy reading
• Allow to turn off or chose simpler renderer for getting the datasets faster
• Adding support for other curve types
• Body Pose variations
• Body Shape variations
• Fabric properties sampling
• Swithcing to Open Source cloth simulator

For bug reports, feature suggestion, and code-related questions, please open an issue.

For other inquires, contact the authors:

• Maria Korosteleva ([email protected]) (Main point of contact).

• Sung-Hee Lee ([email protected]).

We are using SMPL female average body model as base for Body Model examples. SMPL Body Model is licensed under CC BY 4.0.