ABC: A Big CAD Model Dataset for Geometric Deep Learning

@article{Koch2019ABCAB,
  title={ABC: A Big CAD Model Dataset for Geometric Deep Learning},
  author={Sebastian Koch and Albert Matveev and Zhongshi Jiang and Francis Williams and Alexey Artemov and Evgeny Burnaev and Marc Alexa and Denis Zorin and Daniele Panozzo},
  journal={2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2019},
  pages={9593-9603}
}
We introduce ABC-Dataset, a collection of one million Computer-Aided Design (CAD) models for research of geometric deep learning methods and applications. Each model is a collection of explicitly parametrized curves and surfaces, providing ground truth for differential quantities, patch segmentation, geometric feature detection, and shape reconstruction. Sampling the parametric descriptions of surfaces and curves allows generating data in different formats and resolutions, enabling fair… 

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