GarmageSet

GarmageSet is a large-scale professionally-curated garment dataset introduced in the paper GarmageNet: A Multimodal Generative Framework for Sewing Pattern Design and Generic Garment Modeling.

Data Statistics

GarmageSet comprises 14,801 professionally designed garments with detailed structural and style annotations. It is built to support training and evaluation of methods that automate the creation of 2D sewing patterns, the construction of sewing relationships, and the synthesis of 3D garment initializations compatible with physics-based simulation.

This dataset facilitates versatile applications including scalable garment generation from multi-modal design concepts (text prompts, sketches, photographs), automatic modeling from raw flat sewing patterns, pattern recovery from unstructured point clouds, and progressive garment editing.

Citation

If you find this work useful, please cite the original paper:

@article{li2025garmagenet,
    title   = {GarmageNet: A Multimodal Generative Framework for Sewing Pattern Design and Generic Garment Modeling},
    author  = {Li, Siran and Liu, Chen and Liu, Ruiyang and Wang, Zhendong and He, Gaofeng and Li, Yong-Lu and Jin, Xiaogang and Wang, Huamin},
    journal = {arXiv preprint arXiv:2504.01483},
    year    = {2025}
}