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Efficient creation of accurate and editable 3D CAD models is critical in engineering design, significantly impacting cost and time-to-market in product innovation.
Procrustes Problems
Gower, John C and Dijksterhuis, Garmt B · 2004
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‘‘Attention is all you need.’’
Vaswani, Ashish, Shazeer, Noam, Parmar, Niki, Uszkoreit, Jakob, Jones, Llion, Gomez, Aidan N, Kaiser, Łukasz and Polosukhin, Illia · 2017
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‘‘Csgnet: Neural shape parser for constructive solid geometry.’’
Sharma, Gopal, Goyal, Rishabh, Liu, Difan, Kalogerakis, Evangelos and Maji, Subhransu · 2018
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‘‘Abc: A big cad model dataset for geometric deep learning.’’
Koch, Sebastian, Matveev, Albert, Jiang, Zhongshi, Williams, Francis, Artemov, Alexey, Burnaev, Evgeny, Alexa, Marc, Zorin, Denis and Panozzo, Daniele · 2019
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‘‘3d shape generation and completion through point-voxel diffusion.’’
Zhou, Linqi, Du, Yilun and Wu, Jiajun · 2021
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‘‘Diffusion probabilistic models for 3d point cloud generation.’’
Luo, Shitong and Hu, Wei · 2021
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‘‘Deepcad: A deep generative network for computer-aided design models.’’
Wu, Rundi, Xiao, Chang and Zheng, Changxi · 2021
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‘‘Learning transferable visual models from natural language supervision.’’
Radford, Alec, Kim, Jong Wook, Hallacy, Chris, Ramesh, Aditya, Goh, Gabriel, Agarwal, Sandhini, Sastry, Girish, Askell, Amanda, Mishkin, Pamela, Clark, Jack et al · 2021
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‘‘Engineering sketch generation for computer-aided design.’’
Willis, Karl DD, Jayaraman, Pradeep Kumar, Lambourne, Joseph G, Chu, Hang and Pu, Yewen · 2021
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‘‘Towards implicit text-guided 3d shape generation.’’
Liu, Zhengzhe, Wang, Yi, Qi, Xiaojuan and Fu, Chi-Wing · 2022
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‘‘Text2mesh: Text-driven neural stylization for meshes.’’
Michel, Oscar, Bar-On, Roi, Liu, Richard, Benaim, Sagie and Hanocka, Rana · 2022
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‘‘Skexgen: Autoregressive generation of cad construction sequences with disentangled codebooks.’’
Xu, Xiang, Willis, Karl DD, Lambourne, Joseph G, Cheng, Chin-Yi, Jayaraman, Pradeep Kumar and Furukawa, Yasutaka · 2022
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‘‘Solidgen: An autoregressive model for direct b-rep synthesis.’’
Jayaraman, Pradeep Kumar, Lambourne, Joseph G, Desai, Nishkrit, Willis, Karl DD, Sanghi, Aditya and Morris, Nigel JW · 2022
Cited alongside, same era.
‘‘Deep learning for technical document classification.’’
Jiang, Shuo, Hu, Jie, Magee, Christopher L and Luo, Jianxi · 2022
Cited alongside, same era.
‘‘Shap-e: Generating conditional 3d implicit functions.’’
Jun, Heewoo and Nichol, Alex · 2023
Cited alongside, same era.
‘‘Visual Instruction Tuning.’’ (2023)
Liu, Haotian, Li, Chunyuan, Wu, Qingyang and Lee, Yong Jae · 2023
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‘‘Improved baselines with visual instruction tuning.’’
Liu, Haotian, Li, Chunyuan, Li, Yuheng and Lee, Yong Jae · 2023
Cited alongside, same era.
‘‘Cadvlm: Bridging language and vision in the generation of parametric cad sketches.’’
Wu, Sifan, Khasahmadi, Amir Hosein, Katz, Mor, Jayaraman, Pradeep Kumar, Pu, Yewen, Willis, Karl and Liu, Bang · 2024
Later among the works it cites.
‘‘OpenECAD: An efficient visual language model for editable 3D-CAD design.’’
Yuan, Zhe, Shi, Jianqi and Huang, Yanhong · 2024
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‘‘Text2cad: Generating sequential cad designs from beginner-to-expert level text prompts.’’
Khan, Mohammad Sadil, Sinha, Sankalp, Uddin, Talha, Stricker, Didier, Ali, Sk Aziz and Afzal, Muhammad Zeshan · 2024
Later among the works it cites.
‘‘CAD-Assistant: Tool-Augmented VLLMs as Generic CAD Task Solvers?’’
Mallis, Dimitrios, Karadeniz, Ahmet Serdar, Cavada, Sebastian, Rukhovich, Danila, Foteinopoulou, Niki, Cherenkova, Kseniya, Kacem, Anis and Aouada, Djamila · 2024
Later among the works it cites.
‘‘Brepgen: A b-rep generative diffusion model with structured latent geometry.’’
Xu, Xiang, Lambourne, Joseph, Jayaraman, Pradeep, Wang, Zhengqing, Willis, Karl and Furukawa, Yasutaka · 2024
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Luo, Yun, Yang, Zhen, Meng, Fandong, Li, Yafu, Zhou, Jie and Zhang, Yue · 2023
Cited alongside, same era.
‘‘Fine-tuning can cripple your foundation model; preserving features may be the solution.’’
Mukhoti, Jishnu, Gal, Yarin, Torr, Philip HS and Dokania, Puneet K · 2023
Cited alongside, same era.
‘‘Generating CAD Code with Vision-Language Models for 3D Designs.’’
Alrashedy, Kamel, Tambwekar, Pradyumna, Zaidi, Zulfiqar, Langwasser, Megan, Xu, Wei and Gombolay, Matthew · 2024
Cited alongside, same era.
Alam, Md Ferdous and Ahmed, Faez · 2024
Cited alongside, same era.
‘‘LLM4CAD: Multi-Modal Large Language Models for 3D Computer-Aided Design Generation.’’
Li, Xingang, Sun, Yuewan and Sha, Zhenghui · 2024
Cited alongside, same era.
‘‘BlenderLLM: Training Large Language Models for Computer-Aided Design with Self-improvement.’’
Du, Yuhao, Chen, Shunian, Zan, Wenbo, Li, Peizhao, Wang, Mingxuan, Song, Dingjie, Li, Bo, Hu, Yan and Wang, Benyou · 2024
Cited alongside, same era.
‘‘Generating CAD Code with Vision-Language Models for 3D Designs.’’
Alrashedy, Kamel, Tambwekar, Pradyumna, Zaidi, Zulfiqar Haider, Langwasser, Megan, Xu, Wei and Gombolay, Matthew
Cited in the paper.
Later among the works it cites.
‘‘Visual instruction tuning.’’
Liu, Haotian, Li, Chunyuan, Wu, Qingyang and Lee, Yong Jae · 2024
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‘‘Mmmu: A massive multi-discipline multimodal understanding and reasoning benchmark for expert agi.’’
Yue, Xiang, Ni, Yuansheng, Zhang, Kai, Zheng, Tianyu, Liu, Ruoqi, Zhang, Ge, Stevens, Samuel, Jiang, Dongfu, Ren, Weiming, Sun, Yuxuan et al · 2024
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‘‘Vlmevalkit: An open-source toolkit for evaluating large multi-modality models.’’
Duan, Haodong, Yang, Junming, Qiao, Yuxuan, Fang, Xinyu, Chen, Lin, Liu, Yuan, Dong, Xiaoyi, Zang, Yuhang, Zhang, Pan, Wang, Jiaqi et al · 2024
Later among the works it cites.
‘‘From Idea to CAD: A Language Model-Driven Multi-Agent System for Collaborative Design.’’
Ocker, Felix, Menzel, Stefan, Sadik, Ahmed and Rios, Thiago · 2025
Closest in time.
‘‘Large Language Models for Computer-Aided Design (LLM4CAD) Fine-Tuned: Dataset and Experiments.’’
Sun, Yuewan, Li, Xingang and Sha, Zhenghui · 2025
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‘‘Activation-Informed Merging of Large Language Models.’’
Heyrani Nobari, Amin, Alimohammadi, Kaveh, ArjomandBigdeli, Ali, Srivastava, Akash, Ahmed, Faez and Azizan, Navid · 2025
Closest in time.