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Computer-Aided Design (CAD) plays a central role in engineering and manufacturing, making it possible to create precise and editable 3D models.
Geometric modeling of solid objects by using a face adjacency graph representation
Silvia Ansaldi, Leila De Floriani, and Bianca Falcidieno · 1985
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Computer graphics: principles and practice , volume 12110
James D Foley · 1996
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Comparing 3d cad models: uses, methods, tools and perspectives
Antoine Briere-Cote, Louis Rivest, and Roland Maranzana · 2012
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Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
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Inversecsg: Automatic conversion of 3d models to csg trees
Tao Du, Jeevana Priya Inala, Yewen Pu, Andrew Spielberg, Adriana Schulz, Daniela Rus, Armando Solar-Lezama, and Wojciech Matusik · 2018
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Functional programming for compiling and decompiling computer-aided design
Chandrakana Nandi, James R Wilcox, Pavel Panchekha, Taylor Blau, Dan Grossman, and Zachary Tatlock · 2018
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Csgnet: Neural shape parser for constructive solid geometry
Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, and Subhransu Maji · 2018
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Write, execute, assess: Program synthesis with a repl
Kevin Ellis, Maxwell Nye, Yewen Pu, Felix Sosa, Josh Tenenbaum, and Armando Solar-Lezama · 2019
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Optimizing evolutionary csg tree extraction
Markus Friedrich, Pierre-Alain Fayolle, Thomas Gabor, and Claudia Linnhoff-Popien · 2019
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Learning to infer and execute 3d shape programs
Yonglong Tian, Andrew Luo, Xingyuan Sun, Kevin Ellis, William T. Freeman, Joshua B. Tenenbaum, and Jiajun Wu · 2019
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Ucsg-net-unsupervised discovering of constructive solid geometry tree
Kacper Kania, Maciej Zieba, and Tomasz Kajdanowicz · 2020
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Parsenet: A parametric surface fitting network for 3d point clouds
Gopal Sharma, Difan Liu, Subhransu Maji, Evangelos Kalogerakis, Siddhartha Chaudhuri, and Radomír Měch · 2020
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Pie-net: Parametric inference of point cloud edges
Xiaogang Wang, Yuelang Xu, Kai Xu, Andrea Tagliasacchi, Bin Zhou, Ali Mahdavi-Amiri, and Hao Zhang · 2020
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Brepnet: A topological message passing system for solid models
Joseph G Lambourne, Karl DD Willis, Pradeep Kumar Jayaraman, Aditya Sanghi, Peter Meltzer, and Hooman Shayani · 2021
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Csg-stump: A learning friendly csg-like representation for interpretable shape parsing
Daxuan Ren, Jianmin Zheng, Jianfei Cai, Jiatong Li, Haiyong Jiang, Zhongang Cai, Junzhe Zhang, Liang Pan, Mingyuan Zhang, Haiyu Zhao, et al · 2021
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Fusion 360 gallery: A dataset and environment for programmatic cad construction from human design sequences
Karl DD Willis, Yewen Pu, Jieliang Luo, Hang Chu, Tao Du, Joseph G Lambourne, Armando Solar-Lezama, and Wojciech Matusik · 2021
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Deepcad: A deep generative network for computer-aided design models
Rundi Wu, Chang Xiao, and Changxi Zheng · 2021
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Complexgen: Cad reconstruction by b-rep chain complex generation
Haoxiang Guo, Shilin Liu, Hao Pan, Yang Liu, Xin Tong, and Baining Guo · 2022
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Reconstructing editable prismatic cad from rounded voxel models
Joseph George Lambourne, Karl Willis, Pradeep Kumar Jayaraman, Longfei Zhang, Aditya Sanghi, and Kamal Rahimi Malekshan · 2022
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Extrudenet: Unsupervised inverse sketch-and-extrude for shape parsing
Daxuan Ren, Jianmin Zheng, Jianfei Cai, Jiatong Li, and Junzhe Zhang · 2022
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Neural face identification in a 2d wireframe projection of a manifold object
Kehan Wang, Jia Zheng, and Zihan Zhou · 2022
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Skexgen: Autoregressive generation of cad construction sequences with disentangled codebooks
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 · 2024
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Draw step by step: Reconstructing cad construction sequences from point clouds via multimodal diffusion
Weijian Ma, Shuaiqi Chen, Yunzhong Lou, Xueyang Li, and Xiangdong Zhou · 2024
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Cad-assistant: Tool-augmented vllms as generic cad task solvers?
Dimitrios Mallis, Ahmet Serdar Karadeniz, Sebastian Cavada, Danila Rukhovich, Niki Foteinopoulou, Kseniya Cherenkova, Anis Kacem, and Djamila Aouada · 2024
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Cad-recode: Reverse engineering cad code from point clouds
Danila Rukhovich, Elona Dupont, Dimitrios Mallis, Kseniya Cherenkova, Anis Kacem, and Djamila Aouada · 2024
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Deepseekmath: Pushing the limits of mathematical reasoning in open language models
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Xiang Xu, Karl DD Willis, Joseph G Lambourne, Chin-Yi Cheng, Pradeep Kumar Jayaraman, and Yasutaka Furukawa · 2022
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Capri-net: Learning compact cad shapes with adaptive primitive assembly
Fenggen Yu, Zhiqin Chen, Manyi Li, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, and Hao Zhang · 2022
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Solidgen: An autoregressive model for direct b-rep synthesis
Pradeep Kumar Jayaraman, Joseph G Lambourne, Nishkrit Desai, Karl DD Willis, Aditya Sanghi, and Nigel JW Morris · 2023
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Sharp challenge 2023: Solving cad history and parameters recovery from point clouds and 3d scans. overview, datasets, metrics, and baselines
Dimitrios Mallis, Ali Sk Aziz, Elona Dupont, Kseniya Cherenkova, Ahmet Serdar Karadeniz, Mohammad Sadil Khan, Anis Kacem, Gleb Gusev, and Djamila Aouada · 2023
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Direct preference optimization: Your language model is secretly a reward model
Rafael Rafailov, Archit Sharma, Eric Mitchell, Christopher D Manning, Stefano Ermon, and Chelsea Finn · 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
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D2csg: Unsupervised learning of compact csg trees with dual complements and dropouts
Fenggen Yu, Qimin Chen, Maham Tanveer, Ali Mahdavi Amiri, and Hao Zhang · 2023
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Zhihong Shao, Peiyi Wang, Qihao Zhu, Runxin Xu, Junxiao Song, Xiao Bi, Haowei Zhang, Mingchuan Zhang, YK Li, Y Wu, et al · 2024
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Qwen2-vl: Enhancing vision-language model’s perception of the world at any resolution
Peng Wang, Shuai Bai, Sinan Tan, Shijie Wang, Zhihao Fan, Jinze Bai, Keqin Chen, Xuejing Liu, Jialin Wang, Wenbin Ge, et al · 2024
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Cadcrafter: Generating computer-aided design models from unconstrained images
Cheng Chen, Jiacheng Wei, Tianrun Chen, Chi Zhang, Xiaofeng Yang, Shangzhan Zhang, Bingchen Yang, Chuan-Sheng Foo, Guosheng Lin, Qixing Huang, et al · 2025
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Cad-coder: An open-source vision-language model for computer-aided design code generation
Anna C Doris, Md Ferdous Alam, Amin Heyrani Nobari, and Faez Ahmed · 2025
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Cadmium: Fine-tuning code language models for text-driven sequential cad design
Prashant Govindarajan, Davide Baldelli, Jay Pathak, Quentin Fournier, and Sarath Chandar · 2025
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Cad-coder: Text-to-cad generation with chain-of-thought and geometric reward
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Cad-coder: Text-guided cad files code generation
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Cppo: Accelerating the training of group relative policy optimization-based reasoning models
Zhihang Lin, Mingbao Lin, Yuan Xie, and Rongrong Ji · 2025
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Text-to-cadquery: A new paradigm for cad generation with scalable large model capabilities
Haoyang Xie and Feng Ju · 2025
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Rlcad: Reinforcement learning training gym for revolution involved cad command sequence generation
Xiaolong Yin, Xingyu Lu, Jiahang Shen, Jingzhe Ni, Hailong Li, Ruofeng Tong, Min Tang, and Peng Du · 2025
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Yu Yuan, Shizhao Sun, Qi Liu, and Jiang Bian · 2025
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Does reinforcement learning really incentivize reasoning capacity in llms beyond the base model?
Yang Yue, Zhiqi Chen, Rui Lu, Andrew Zhao, Zhaokai Wang, Shiji Song, and Gao Huang · 2025
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