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Reverse engineering 3D computer-aided design (CAD) models from images is an important task for many downstream applications including interactive editing, manufacturing, architecture, robotics, etc.
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Learning Shape Abstractions by Assembling Volumetric Primitives. In CVPR
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Mikaela Angelina Uy, Yen-Yu Chang, Minhyuk Sung, Purvi Goel, Joseph G Lambourne, Tolga Birdal, and Leonidas J Guibas. 2022 · 2022
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Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, and Daniele Panozzo. 2019 · 2019
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Supervised Fitting of Geometric Primitives to 3D Point Clouds. In CVPR
Lingxiao Li, Minhyuk Sung, Anastasia Dubrovina, Li Yi, and Leonidas Guibas. 2019 · 2019
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StructureNet: Hierarchical Graph Networks for 3D Shape Generation
Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy Mitra, and Leonidas Guibas. 2019a · 2019
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Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids. In Proceedings IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)
Despoina Paschalidou, Ali Osman Ulusoy, and Andreas Geiger. 2019 · 2019
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ShapeAssembly: Learning to Generate Programs for 3D Shape Structure Synthesis
R. Kenny Jones, Theresa Barton, Xianghao Xu, Kai Wang, Ellen Jiang, Paul Guerrero, Niloy Mitra, and Daniel Ritchie. 2020 · 2020
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UCSG-Net – Unsupervised Discovering of Constructive Solid Geometry Tree. In NeurIPS
Kacper Kania, Maciej Zięba, and Tomasz Kajdanowicz. 2020 · 2020
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Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image. In Proceedings IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)
Despoina Paschalidou, Luc van Gool, and Andreas Geiger. 2020 · 2020
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SketchGraphs: A Large-Scale Dataset for Modeling Relational Geometry in Computer-Aided Design. In ICML
Ari Seff, Yaniv Ovadia, Wenda Zhou, and Ryan P. Adams. 2020 · 2020
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SkexGen: Autoregressive Generation of CAD Construction Sequences with Disentangled Codebooks. In ICML
Xiang Xu, Karl DD Willis, Joseph G Lambourne, Chin-Yi Cheng, Pradeep Kumar Jayaraman, and Yasutaka Furukawa. 2022 · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
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Lrm: Large reconstruction model for single image to 3d
Yicong Hong, Kai Zhang, Jiuxiang Gu, Sai Bi, Yang Zhou, Difan Liu, Feng Liu, Kalyan Sunkavalli, Trung Bui, and Hao Tan. 2023 · 2023
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SolidGen: An Autoregressive Model for Direct B-rep Synthesis
Pradeep Kumar Jayaraman, Joseph G. Lambourne, Nishkrit Desai, Karl D. D. Willis, Aditya Sanghi, and Nigel J. W. Morris. 2023 · 2023
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ShapeCoder: Discovering Abstractions for Visual Programs from Unstructured Primitives
R. Kenny Jones, Paul Guerrero, Niloy J. Mitra, and Daniel Ritchie. 2023 · 2023
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ReparamCAD: Zero-shot CAD Re-Parameterization for Interactive Manipulation
Milin Kodnongbua, Benjamin T. Jones, Maaz Bin Safeer Ahmad, Vladimir Kim, and Adriana Schulz. 2023 · 2023
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SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations. In CVPR
Pu Li, Jianwei Guo, Xiaopeng Zhang, and Dong-Ming Yan. 2023 · 2023
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Flow Matching for Generative Modeling. In ICLR
Yaron Lipman, Ricky TQ Chen, Heli Ben-Hamu, Maximilian Nickel, and Matthew Le. 2023 · 2023
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Point2CAD: Reverse Engineering CAD Models from 3D Point Clouds
Yujia Liu, Anton Obukhov, Jan Dirk Wegner, and Konrad Schindler. 2023 · 2023
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MultiCAD: Contrastive Representation Learning for Multi-modal 3D Computer-Aided Design Models
Weijian Ma, Minyang Xu, Xueyang Li, and Xiangdong Zhou. 2023 · 2023
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Procedural Modeling of Buildings
Pascal Müller, Peter Wonka, Simon Haegler, Andreas Ulmer, and Luc Van Gool. 2023 · 2023
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Neurosymbolic Models for Computer Graphics
Daniel Ritchie, Paul Guerrero, R. Kenny Jones, Niloy J. Mitra, Adriana Schulz, Karl D. D. Willis, and Jiajun Wu. 2023 · 2023
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Hierarchical Neural Coding for Controllable CAD Model Generation
Xiang Xu, Pradeep Kumar Jayaraman, Joseph G Lambourne, Karl DD Willis, and Yasutaka Furukawa. 2023 · 2023
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D 2 CSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and Dropouts. In NeurIPS
Fenggen Yu, Qimin Chen, Maham Tanveer, Ali Mahdavi Amiri, and Hao Zhang. 2023 · 2023
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Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Alex Vaughan, et al · 2024
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MV2Cyl: Reconstructing 3D Extrusion Cylinders from Multi-View Images. In The Thirty-eighth Annual Conference on Neural Information Processing Systems
Eunji Hong, Minh Hieu Nguyen, Mikaela Angelina Uy, and Minhyuk Sung. 2024 · 2024
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Learning to Infer Generative Template Programs for Visual Concepts. In International Conference on Machine Learning (ICML)
R. Kenny Jones, Siddhartha Chaudhuri, and Daniel Ritchie. 2024 · 2024
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Mohammad Sadil Khan, Elona Dupont, Sk Aziz Ali, Kseniya Cherenkova, Anis Kacem, and Djamila Aouada. 2024 · 2024
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Split-and-Fit: Learning B-Reps via Structure-Aware Voronoi Partitioning
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Brep2Seq: a dataset and hierarchical deep learning network for reconstruction and generation of computer-aided design models
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Gaussian Mixture Flow Matching Models
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CADDreamer: CAD Object Generation from Single-view Images. In Proceedings of the Computer Vision and Pattern Recognition Conference . 21448–21457
Yuan Li, Cheng Lin, Yuan Liu, Xiaoxiao Long, Chenxu Zhang, Ningna Wang, Xin Li, Wenping Wang, and Xiaohu Guo. 2025 · 2025
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