Papers of the day   All papers

ABC: A Big CAD Model Dataset For Geometric Deep Learning

Comments

May 08 2019 hardmaru

ABC: A Big CAD Model Dataset For Geometric Deep Learning A collection of a million computer-aided design (CAD) models. Will be fun to play with vector design plans. Hope they included the kitchen sink! 🚰 https://link.medium.com/gpnNieFVuW https://arxiv.org/abs/1812.06216 https://deep-geometry.github.io/abc-dataset/ https://t.co/ROfu4NC0md
1 replies, 597 likes


May 08 2019 samim

3D shape machine learning on the rise. The next wave of generative design emerging.
0 replies, 53 likes


Dec 18 2018 sim2real

ABC: A Big CAD Model Dataset For Geometric Deep Learning https://arxiv.org/abs/1812.06216 https://t.co/PM9I7xq0Zl
0 replies, 46 likes


May 01 2019 Elissa

"ABC: A Big CAD Model Dataset for Geometric Deep Learning". More than a million models defined by parametric surfaces, + accurate ground truth information. This is an important movement toward benchmarking and standardization for geometric deep learning https://arxiv.org/abs/1812.06216 https://t.co/JyItoyleog
0 replies, 12 likes


May 01 2019 arXiv CS-CV

ABC: A Big CAD Model Dataset For Geometric Deep Learning http://arxiv.org/abs/1812.06216
0 replies, 8 likes


Aug 22 2019 Evgeny

Our join work with NYU & TU Berlin "ABC: A Big CAD Model Dataset For Geometric Deep Learning" obtained the "Best dataset award" at SGP 2019! (http://awards.geometryprocessing.org) Dataset: https://deep-geometry.github.io/abc-dataset/ Paper: https://arxiv.org/pdf/1812.06216.pdf😊
0 replies, 8 likes


May 01 2019 arXiv CS-CV

ABC: A Big CAD Model Dataset For Geometric Deep Learning http://arxiv.org/abs/1812.06216
0 replies, 2 likes


May 08 2019 Rowel Atienza

This could be the MNIST of Geometric Deep Learning. ShapeNet might be useful but not exactly suitable for generative models for 3D shapes and point clouds.
0 replies, 2 likes


May 08 2019 Jackson Waschura

An exciting new dataset. Perhaps new geometric ML papers will generalize beyond tables and chairs! 😋
0 replies, 1 likes


Content