Official implementation of NeuralTailor: Reconstructing Sewing Pattern Structures from 3D Point Clouds of Garments. Provides our pre-trained models, scripts to evalute them, and tools to train framework components from scratch.
| ⚡ Our NeuralTailor paper was accepted to SIGGRAPH 2022! |
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For training and evaluation, NeuralTailor uses dataset created with Garment-Pattern-Generator.
- Dataset is available from Zenodo: Dataset of 3D Garments with Sewing Patterns
Provided in ./docs folder
- Installtion instructions: Installation
- How to run training and evaluation: Running
If you are using our system in your research, consider citing our paper.
@article{NeuralTailor2022,
author = {Korosteleva, Maria and Lee, Sung-Hee},
title = {NeuralTailor: Reconstructing Sewing Pattern Structures from 3D Point Clouds of Garments},
year = {2022},
issue_date = {July 2022},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {41},
number = {4},
doi = {10.1145/3528223.3530179},
journal = {ACM Trans. Graph.},
numpages = {16},
keywords = {structured deep learning, sewing patterns, garment reconstruction}
}
For bug reports, feature suggestion, and code-related questions, please open an issue.
For other inquires, contact the authors:
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Maria Korosteleva (mariako@kaist.ac.kr) (Main point of contact).
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Sung-Hee Lee (sunghee.lee@kaist.ac.kr).