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Computer-aided design (CAD) is a way to digitally create 2D drawings and 3D models of real-world products.
Parametric and feature-based CAD/CAM: concepts, techniques, and applications
Jami J Shah and Martti Mäntylä · 1995
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Shuming Gao and Jami J Shah · 1998
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Analysis of dxf file with an application to 3d graphic display
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Thingi10k: A dataset of 10,000 3d-printing models, 2016
Qingnan Zhou and Alec Jacobson · 2016
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Learning representations and generative models for 3d point clouds
Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas, and Leonidas Guibas · 2018
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Abc: A big cad model dataset for geometric deep learning
Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, and Daniele Panozzo · 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 J Guibas · 2019
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Pointflow: 3d point cloud generation with continuous normalizing flows
Guandao Yang, Xun Huang, Zekun Hao, Ming-Yu Liu, Serge Belongie, and Bharath Hariharan · 2019
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Learning gradient fields for shape generation
Ruojin Cai, Guandao Yang, Hadar Averbuch-Elor, Zekun Hao, Serge Belongie, Noah Snavely, and Bharath Hariharan · 2020
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Pvdeconv: Point-voxel deconvolution for autoencoding cad construction in 3d
Kseniya Cherenkova, Djamila Aouada, and Gleb Gusev · 2020
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Sketchgraphs: A large-scale dataset for modeling relational geometry in computer-aided design
Ari Seff, Yaniv Ovadia, Wenda Zhou, and Ryan P Adams · 2020
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Evaluating Large Language Models Trained on Code
Mark Chen, Jerry Tworek, Heewoo Jun, et al · 2021
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Evaluating large language models trained on code, 2021
Mark Chen, Jerry Tworek, Heewoo Jun, et al · 2021
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Computer-aided design as language
Yaroslav Ganin, Sergey Bartunov, Yujia Li, Ethan Keller, and Stefano Saliceti · 2021
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Sketchgen: Generating constrained cad sketches
Wamiq Para, Shariq Bhat, Paul Guerrero, Tom Kelly, Niloy Mitra, Leonidas J Guibas, and Peter Wonka · 2021
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Vitruvion: A generative model of parametric cad sketches
Ari Seff, Wenda Zhou, Nick Richardson, and Ryan P Adams · 2021
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Cad-llm: Large language model for cad generation
Sifan Wu, Amir Khasahmadi, Mor Katz, Pradeep Kumar Jayaraman, Yewen Pu, Karl Willis, and Bang Liu · 2023
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Phi-3 technical report: A highly capable language model locally on your phone, 2024
Marah Abdin, Jyoti Aneja, Hany Awadalla, et al · 2024
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Generating cad code with vision-language models for 3d designs
Kamel Alrashedy, Pradyumna Tambwekar, Zulfiqar Zaidi, Megan Langwasser, Wei Xu, and Matthew Gombolay · 2024
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Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, et al · 2024
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Aixin Liu, Bei Feng, Bing Xue, Bingxuan Wang, Bochao Wu, Chengda Lu, Chenggang Zhao, Chengqi Deng, Chenyu Zhang, Chong Ruan, et al · 2024
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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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Cadops-net: Jointly learning cad operation types and steps from boundary-representations
Elona Dupont, Kseniya Cherenkova, Anis Kacem, Sk Aziz Ali, Ilya Arzhannikov, Gleb Gusev, and Djamila Aouada · 2022
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Skexgen: Autoregressive generation of cad construction sequences with disentangled codebooks
Xiang Xu, Karl DD Willis, Joseph G Lambourne, Chin-Yi Cheng, Pradeep Kumar Jayaraman, and Yasutaka Furukawa · 2022
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https://help.autodesk.com/view/OARX/2023/ENU/?guid=GUID-265AADB3-FB89-4D34-AA9D-6ADF70FF7D4B , a
Autolisp · 2023
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Code llama: Open foundation models for code
Baptiste Roziere, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Xiaoqing Ellen Tan, Yossi Adi, Jingyu Liu, Romain Sauvestre, Tal Remez, et al · 2023
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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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Vq-cad: Computer-aided design model generation with vector quantized diffusion
Hanxiao Wang, Mingyang Zhao, Yiqun Wang, Weize Quan, and Dong-Ming Yan · 2024
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Brepgen: A b-rep generative diffusion model with structured latent geometry
Xiang Xu, Joseph Lambourne, Pradeep Jayaraman, Zhengqing Wang, Karl Willis, and Yasutaka Furukawa · 2024
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An Yang, Baosong Yang, Beichen Zhang, Binyuan Hui, Bo Zheng, Bowen Yu, Chengyuan Li, Dayiheng Liu, Fei Huang, Haoran Wei, et al · 2024
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Codegeex: A pre-trained model for code generation with multilingual benchmarking on humaneval-x, 2024
Qinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, Shan Wang, Yufei Xue, Zihan Wang, Lei Shen, Andi Wang, Yang Li, Teng Su, Zhilin Yang, and Jie Tang · 2024
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Text2cad: Generating sequential cad designs from beginner-to-expert level text prompts
Mohammad Sadil Khan, Sankalp Sinha, Talha Uddin, Didier Stricker, Sk Aziz Ali, and Muhammad Zeshan Afzal · 2025
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