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cs.CV2026
CAD-feature enhanced machine learning for manufacturing effort estimation on sheet metal bending parts
Matteo Ballegeer, Toon Van Camp, Willem Jaspers +6
Graph-based machine learning has emerged as a promising approach for manufacturability analysis by learning directly from CAD models represented as Boundary Representations (B-reps…
cs.CV2026
BenDFM: A taxonomy and synthetic CAD dataset for manufacturability assessment in sheet metal bending
Matteo Ballegeer, Dries F. Benoit
Predicting the manufacturability of CAD designs early, in terms of both feasibility and required effort, is a key goal of Design for Manufacturing (DFM). Despite advances in deep l…
cs.CV2026
FoV-Net: Rotation-Invariant CAD B-rep Learning via Field-of-View Ray Casting
Matteo Ballegeer, Dries F. Benoit
Learning directly from boundary representations (B-reps) has significantly advanced 3D CAD analysis. However, state-of-the-art B-rep learning methods rely on absolute coordinates a…