---
license: apache-2.0
tags:
- vision-language
- image-to-cad
- cad
- cadquery
- qwen2-vl
- 3d
---
# CADReasoner

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

## Overview

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.



## Usage

Please use the inference and evaluation scripts from the repository.

Example:
```bash
python3 test.py --dataset <test_dataset> --checkpoint kulibinai/CADReasoner --n_iters <n_iters> --outdir <outdir>
```
<test_dataset> can be one of:

* maksimko123/deepcad_test_mesh
* maksimko123/fusion360_test_mesh
* kulibinai/mcb_test
* kulibinai/deepcad_test_scan
* kulibinai/fusion360_test_scan
* kulibinai/mcb_test_scan
* 
### Citation
```bibtex
@article{kabisov2026cadreasoner,
  title={CADReasoner: Iterative Program Editing for CAD Reverse Engineering},
  author={Kabisov, Soslan and Kirichuk, Vsevolod and Volkov, Andrey and Savrasov, Gennadii and Barannikov, Marina and Konushin, Anton and Kuznetsov, Andrey and Zhemchuzhnikov, Dmitrii},
  journal={arXiv preprint arXiv:2603.29847},
  year={2026}
}
```