MUSE: Benchmarking Manufacturable, Functional, and Assemblable Text-to-CAD Generation

TL;DR AI
2 min readKey summary
Researchers introduced MUSE, a new Text-to-CAD benchmark for complex editable CAD assemblies.
It evaluates outputs with a three-stage pipeline: code checking, geometry checking, and design-intent alignment.
The benchmark uses structured design specifications and a rubric-based VLM judge, validated against human annotations.
Results show current LLMs still struggle to generate engineering-ready CAD that is functional, manufacturable, and assemblable.
