Methods › Computer Vision › CAD Design Models › BRepNet
BRepNet
Introduced by Joseph G. Lambourne et al. in BRepNet: A topological message passing system for solid models
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
BRepNet is a neural network for CAD applications. It is designed to operate directly on B-rep data structures, avoiding the need to approximate the model as meshes or point clouds. BRepNet defines convolutional kernels with respect to oriented coedges in the data structure. In the neighborhood of each coedge, a small collection of faces, edges and coedges can be identified and patterns in the feature vectors from these entities detected by specific learnable parameters.
Papers archive 2025-07-28
1 shown of 1, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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BRepNet: A topological message passing system for solid models 1 Apr 2021 · 2 repositories · arXiv:2104.00706
Tasks archive 2025-07-28
1 task the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| B-Rep face segmentation | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
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