mlsanityData to 7 Oct 2026

CADENA: Stepwise CAD Reverse Engineering

arXiv 2608.00799 ↗First posted 1 Aug 2026cs.CVcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 52 of its 56 references that are in the map. First posted on arXiv 1 Aug 2026.

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52 of 56 references.

References · 52

  1. 2021DeepCAD: A Deep Generative Network for Computer-Aided Design Modelscited by 266
  2. 2022SkexGen: Autoregressive Generation of CAD Construction Sequences with Disentangled Codebookscited by 121
  3. 2024BrepGen: A B-rep Generative Diffusion Model with Structured Latent Geometrycited by 101
  4. 2022SolidGen: An Autoregressive Model for Direct B-rep Synthesiscited by 78
  5. 2020UCSG-Net -- Unsupervised Discovering of Constructive Solid Geometry Treecited by 77
  6. 2024CAD-MLLM: Unifying Multimodality-Conditioned CAD Generation With MLLMcited by 74
  7. 2021SketchGen: Generating Constrained CAD Sketchescited by 68
  8. 2021Vitruvion: A Generative Model of Parametric CAD Sketchescited by 66
  9. 2024CAD-Recode: Reverse Engineering CAD Code from Point Cloudscited by 63
  10. 2021CAPRI-Net: Learning Compact CAD Shapes with Adaptive Primitive Assemblycited by 62
  11. 2021Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinderscited by 59
  12. 2025CAD-Coder: Text-to-CAD Generation with Chain-of-Thought and Geometric Rewardcited by 53
38 more
  1. 2021Inferring CAD Modeling Sequences Using Zone Graphscited by 50
  2. 2023SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operationscited by 46
  3. 2024CAD-Assistant: Tool-Augmented VLLMs as Generic CAD Task Solverscited by 40
  4. 2023D2CSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and Dropoutscited by 39
  5. 2025CAD-Coder: An Open-Source Vision-Language Model for Computer-Aided Design Code Generationcited by 39
  6. 2022ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsingcited by 38
  7. 2025HoLa: B-Rep Generation using a Holistic Latent Representationcited by 29
  8. 2024CadVLM: Bridging Language and Vision in the Generation of Parametric CAD Sketchescited by 28
  9. 2025CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editingcited by 19
  10. 2025CME-CAD: Heterogeneous Collaborative Multi-Expert Reinforcement Learning for CAD Code Generationcited by 18
  11. 2024Split-and-Fit: Learning B-Reps via Structure-Aware Voronoi Partitioningcited by 17
  12. 2025AutoBrep: Autoregressive B-Rep Generation with Unified Topology and Geometrycited by 16
  13. 2019Neural Shape Parsers for Constructive Solid Geometrycited by 14
  14. 2025cadrille: Multi-modal CAD Reconstruction with Reinforcement Learningcited by 14
  15. 2025BrepGPT: Autoregressive B-rep Generation with Voronoi Half-Patchcited by 12
  16. 2026BenchCAD: A Comprehensive, Industry-Standard Benchmark for Programmatic CADcited by 11
  17. 2026Text2CAD-Bench: A Benchmark for LLM-based Text-to-Parametric CAD Generationcited by 11
  18. 2025CAD-Judge: Toward Efficient Morphological Grading and Verification for Text-to-CAD Generationcited by 9
  19. 2026Pointer-CAD: Unifying B-Rep and Command Sequences via Pointer-based Edges & Faces Selectioncited by 9
  20. 2026Text-to-CAD Evaluation with CADTestscited by 9
  21. 2026IterCAD: An Iterative Multimodal Agent for Visually-Grounded CAD Generation and Editingcited by 9
  22. 2025Bringing Attention to CAD: Boundary Representation Learning via Transformercited by 8
  23. 2026MUSE: Benchmarking Manufacturable, Functional, and Assemblable Text-to-CAD Generationcited by 8
  24. 2026Zero-to-CAD: Agentic Synthesis of Interpretable CAD Programs at Million-Scale Without Real Datacited by 7
  25. 2026TOOLCAD: Exploring Tool-Using Large Language Models in Text-to-CAD Generation with Reinforcement Learningcited by 6
  26. 2025SketchDNN: Joint Continuous-Discrete Diffusion for CAD Sketch Generationcited by 5
  27. 2025Residual Primitive Fitting of 3D Shapes with SuperFrustacited by 5
  28. 2026CADEvolve: Creating Realistic CAD via Program Evolutioncited by 5
  29. 2025HistCAD: Constraint-Aware Parametric CAD Histories for Evaluating Editabilitycited by 4
  30. 2026CADReasoner: Iterative Program Editing for CAD Reverse Engineeringcited by 4
  31. 2026CADFS: A Big CAD Program Dataset and Framework for Computer-Aided Design with Large Language Modelscited by 4
  32. 2026PR-CAD: Progressive Refinement for Unified Controllable and Faithful Text-to-CAD Generation with Large Language Modelscited by 3
  33. 2026CADFit: Precise Mesh-to-CAD Program Generation with Hybrid Optimizationcited by 3
  34. 2026COSMO-Agent: Tool-Augmented Agent for Closed-loop Optimization,Simulation,and Modeling Orchestrationcited by 2
  35. 2026DualBrep: A Dual-Field Continuous Representation for B-rep Modellingcited by 2
  36. 2026Autoregressive B-Rep Shape Generation with Parametric Surfacescited by 2
  37. 2025CAD-Tokenizer: Towards Text-based CAD Prototyping via Modality-Specific Tokenizationcited by 1
  38. 2025B-Rep Distance Functions (BR-DF): How to Represent a B-Rep Model by Volumetric Distance Functions?cited by 1

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