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ConCAD: Constraint-Aware Image-to-CAD Generation with Dual-Granularity Rewards
Image-to-CAD generation seeks executable parametric programs that recover both the geometry and design intent of a reference object. Existing systems are commonly evaluated by validity and shape overlap, although two solids with similar volume can encode different CAD relations. We introduce ConCAD,
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