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arXiv Machine Learning By Ghadi Nehme, Eamon Whalen, Faez Ahmed

CADFit: Precise Mesh-to-CAD Program Generation with Hybrid Optimization

Read the original on arXiv Machine Learning →

arXiv:2605. 01171v2 Announce Type: replace-cross Abstract: Despite recent progress, recovering parametric CAD construction sequences from geometric input, such as meshes or point clouds, is a key challenge for design and manufacturing, as existing CAD reconstruction and generation methods are largely restricted to difficult-to-edit formats like meshes or Breps or editable simple sketch-and-extrude pipelines and low-complexity datasets.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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