CADReasoner is a vision–language model for iterative CAD reverse engineering. It generates a runnable CadQuery program and refines it over multiple iterations using geometric feedback from the discrepancy between the target and the current prediction.

Accepted to CVPR 2026 Findings Track
Paper: https://arxiv.org/abs/2603.29847
Code: https://github.com/zhemdi/CADReasoner
HF paper page: https://huggingface.co/papers/2603.29847

Unlike single-pass Image2CAD methods, CADReasoner performs iterative program editing. At each step, it uses multi-view geometric inputs together with the previous prediction to improve reconstruction quality.

Please use the inference and evaluation scripts from the repository.

Example:

<test_dataset> can be one of: