SOURCE-LINKED INTELLIGENCE
IterCAD: Iterative Program Repair for CAD Code Generation from Orthographic Views
Generating executable parametric CAD code from dimension-annotated orthographic drawings is a challenging task requiring geometric understanding, procedural reasoning, and precise numerical prediction. Existing vision-language approaches typically formulate this problem as one-shot generation, preventing the model from inspecting intermediate CAD results and correcting early mistakes, often leading to non-executable code or geometrically inconsistent outputs. In this paper, we propose IterCAD, an iterative framework that reformulates orthographic-view-to-CAD generation as a progressive program
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-25T03:22:10.000Z
First collected: 2026-09-21T10:22:00.206Z. This is not the publication date.