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Paper · arXiv

STEP-Parts: Geometric Partitioning of Boundary Representations for Large-Scale CAD Processing

Many CAD learning pipelines discretize Boundary Representations (B-Reps) into triangle meshes, discarding analytic surface structure and topological adjacency and thereby weakening consistent instance-level analysis. We present STEP-Parts, a deterministic CAD-to-supervision toolchain that extracts geometric instance partitions directly from raw STEP B-Reps and transfers them to tessellated carriers through retained source-face correspondence, yielding instance labels and metadata for downstream learning and evaluation. The construction merges adjacent B-Rep faces only when they share the same analytic primitive type and satisfy a near-tangent continuity criterion. On ABC, same-primitive d...

AuthorsShen Fan, Mikołaj Kida, Przemyslaw Musialski
Primary categorycs.GR
Published16 April 2026
Last updated at source17 April 2026
cs.GRcs.AIcs.CVcs.LG
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