Public articles linked to the same research event.
arXiv The work introduces StepCAD, a generative optimization approach that combines a state-conditioned CAD policy with geometry-guided search: given an input mesh, the policy predicts construction actions conditioned on both target and intermediate geometry, and an IoU-guided tree search refines the resulting program through local edits; it also releases ARCADE-1.5M, a dataset of 1.5M executable CAD programs with sequences up to 150+ counted operations and 12.5M intermediate state-action transitions; across multiple CAD reconstruction benchmarks StepCAD achieves state-of-the-art geometric reconstruction accuracy with consistently high validity, yielding up to 87.2% relative IoU improvement over the strongest evaluated baseline, with particularly large gains on complex shapes.
The work introduces StepCAD, a generative optimization approach that combines a state-conditioned CAD policy with geometry-guided search: given an input mesh, the policy predicts construction actions conditioned on both target and intermediate geometry, and an IoU-guided tree search refines the resulting program through local edits; it also releases ARCADE-1.5M, a dataset of 1.5M executable CAD programs with sequences up to 150+ counted operations and 12.5M intermediate state-action transitions; across multiple CAD reconstruction benchmarks StepCAD achieves state-of-the-art geometric reconstruction accuracy with consistently high validity, yielding up to 87.2% relative IoU improvement over the strongest evaluated baseline, with particularly large gains on complex shapes.
The work introduces StepCAD, a generative optimization approach that combines a state-conditioned CAD policy with geometry-guided search: given an input mesh, the policy predicts construction actions conditioned on both target and intermediate geometry, and an IoU-guided tree search refines the resulting program through local edits; it also releases ARCADE-1.5M, a dataset of 1.5M executable CAD programs with sequences up to 150+ counted operations and 12.5M intermediate state-action transitions; across multiple CAD reconstruction benchmarks StepCAD achieves state-of-the-art geometric reconstruction accuracy with consistently high validity, yielding up to 87.2% relative IoU improvement over the strongest evaluated baseline, with particularly large gains on complex shapes.
The work introduces StepCAD, a generative optimization approach that combines a state-conditioned CAD policy with geometry-guided search: given an input mesh, the policy predicts construction actions conditioned on both target and intermediate geometry, and an IoU-guided tree search refines the resulting program through local edits; it also releases ARCADE-1.5M, a dataset of 1.5M executable CAD programs with sequences up to 150+ counted operations and 12.5M intermediate state-action transitions; across multiple CAD reconstruction benchmarks StepCAD achieves state-of-the-art geometric reconstruction accuracy with consistently high validity, yielding up to 87.2% relative IoU improvement over the strongest evaluated baseline, with particularly large gains on complex shapes.