most citedcadrille: Multi-modal CAD Reconstruction with Reinforcement Learning

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2026

CADFather: Autonomous CAD Reconstruction through Coordinated Tool Use

Gennadiy Savrasov, Maksim Elistratov, Nikita Gavrilov +7

Reconstructing an editable CAD model from a 3D shape remains a challenging engineering task. Existing methods can propose CAD operations, but no single source of proposals works eq…

cs.CV2026

CADENA: Stepwise CAD Reverse Engineering

Soslan Kabisov, Gennadiy Savrasov, Maksim Elistratov +9

Computer-Aided Design (CAD) underpins modern engineering, yet converting existing shapes into editable models still demands substantial expert effort. Most AI systems emit the enti…

cs.GR2026

CADReasoner: Iterative Program Editing for CAD Reverse Engineering

Soslan Kabisov, Vsevolod Kirichuk, Andrey Volkov +5

Computer-Aided Design (CAD) powers modern engineering, yet producing high-quality parts still demands substantial expert effort. Many AI systems tackle CAD reverse engineering, but…

cs.GR2026

CADEvolve: Creating Realistic CAD via Program Evolution

Maksim Elistratov, Marina Barannikov, Gregory Ivanov +4

Computer-Aided Design (CAD) delivers rapid, editable modeling for engineering and manufacturing. Recent AI progress now makes full automation feasible for various CAD tasks. Howeve…

cs.CV2025★ 1 cited

cadrille: Multi-modal CAD Reconstruction with Reinforcement Learning

Maksim Kolodiazhnyi, Denis Tarasov, Dmitrii Zhemchuzhnikov +6

Computer-Aided Design (CAD) plays a central role in engineering and manufacturing, making it possible to create precise and editable 3D models. Using a variety of sensor or user-pr…