CADENA: Stepwise CAD Reverse Engineering
Abstract
Computer-Aided Design (CAD) underpins modern engineering, yet converting existing shapes into editable models still demands substantial expert effort. Most AI systems emit the entire CAD program in a single pass, never inspecting the intermediate geometry. In contrast, human engineers build a part feature by feature, checking after each operation what remains to be modeled. We introduce CADENA (Spanish for "chain"), a model that reconstructs a 3D mesh as a parametric CAD program, growing its sequence of operations one at a time and comparing the target with the currently predicted geometry at every step. We also address the lack of benchmarks for evaluating reverse-engineering methods on mechanical parts, introducing CADENA-Bench, a benchmark that measures performance across categories of mechanical parts. CADENA outperforms prior methods on CADENA-Bench and on the DeepCAD, Fusion 360, and MCB datasets. Code is available at https://github.com/zhemdi/cadena, model weights at https://huggingface.co/kulibinai/cadena, and CADENA-Bench at https://huggingface.co/datasets/kulibinai/cadena-bench.
Cite
@article{arxiv.2608.00799,
title = {CADENA: Stepwise CAD Reverse Engineering},
author = {Soslan Kabisov and Gennadiy Savrasov and Maksim Elistratov and Antonio Rodriguez and Daniil Ignatiev and Nikita Gavrilov and Rustam Uzdenov and Alexey I. Boyko and Igor Pasechnik and Anton Konushin and Andrey Kuznetsov and Dmitrii Zhemchuzhnikov},
journal= {arXiv preprint arXiv:2608.00799},
year = {2026}
}
Comments
Code: https://github.com/zhemdi/cadena Model: https://huggingface.co/kulibinai/cadena Benchmark: https://huggingface.co/datasets/kulibinai/cadena-bench