Learn the Solid, Not the File: Canonical Inputs for Neural Networks on CAD Boundary Representations
Paper recorded by Signals 4 on 2026-09-10 in cs.CV. Abstract reproduced from arXiv; link to the original below.
Published 2026-09-10 on arXiv · recorded by Signals 4 on 2026-09-11
Category: cs.CV · 计算机视觉 · first seen 2026-09-11
Abstract
Boundary representation (B-rep) is the standard format used by modern CAD systems for parametric 3D models. It turns out, the exact same solid can be represented by different B-reps: for example, two engineers using different operations, a geometry kernel rebuilding the file, and an export setting repartitioning faces will lead to different B-reps even though the underlying solid remains the same.
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Cite this page: Learn the Solid, Not the File: Canonical Inputs for Neural Networks on CAD Boundary Representations: the #93 most recent of 237 cs.CV papers we have recorded (as of 2026-09-10). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/learn-the-solid-not-the-file-canonical-inputs-for-neural-networks-on-cad-boundar.html
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