CADSmith: Multi-Agent CAD Generation with Programmatic Geometric Validation
📰 ArXiv cs.AI
CADSmith is a multi-agent pipeline for text-to-CAD generation with programmatic geometric validation
Action Steps
- Generate CadQuery code from natural language using a multi-agent pipeline
- Refine the code through an inner loop that resolves execution errors
- Further refine the code through an outer loop grounded in programmatic geometric validation
- Iterate through the refinement process until a valid and accurate CAD model is generated
Who Needs to Know This
CAD designers, engineers, and architects can benefit from CADSmith's ability to generate and validate CAD models from natural language, improving their workflow efficiency and accuracy
Key Insight
💡 CADSmith's multi-agent pipeline and iterative refinement process enable accurate and efficient CAD model generation from natural language
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💡 CADSmith: AI-powered text-to-CAD generation with programmatic geometric validation
Key Takeaways
CADSmith is a multi-agent pipeline for text-to-CAD generation with programmatic geometric validation
Full Article
Title: CADSmith: Multi-Agent CAD Generation with Programmatic Geometric Validation
Abstract:
arXiv:2603.26512v1 Announce Type: new Abstract: Existing methods for text-to-CAD generation either operate in a single pass with no geometric verification or rely on lossy visual feedback that cannot resolve dimensional errors. We present CADSmith, a multi-agent pipeline that generates CadQuery code from natural language. It then undergoes an iterative refinement process through two nested correction loops: an inner loop that resolves execution errors and an outer loop grounded in programmatic g
Abstract:
arXiv:2603.26512v1 Announce Type: new Abstract: Existing methods for text-to-CAD generation either operate in a single pass with no geometric verification or rely on lossy visual feedback that cannot resolve dimensional errors. We present CADSmith, a multi-agent pipeline that generates CadQuery code from natural language. It then undergoes an iterative refinement process through two nested correction loops: an inner loop that resolves execution errors and an outer loop grounded in programmatic g
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