Soslan Kabisov, Gennadiy Savrasov
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.
@article{90d561b6-09dd-4a6c-9a47-86ede2d1b499,
title={CADENA: STEPWISECAD REVERSEENGINEERING},
author={Soslan Kabisov and Gennadiy Savrasov},
year={2026},
language={en}
}TY - JOUR TI - CADENA: STEPWISECAD REVERSEENGINEERING AU - Soslan Kabisov AU - Gennadiy Savrasov PY - 2026 LA - en ER -
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