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Recently, there is a growing interest in creating computer-aided design (CAD) models based on user intent, known as controllable CAD generation.
Geometric modeling of solid objects by using a face adjacency graph representation
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Constructive solid geometry for polyhedral objects
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Neural discrete representation learning
Aaron Van Den Oord, Oriol Vinyals, et al · 2017
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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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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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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2018
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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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Ccnet: Extracting high quality monolingual datasets from web crawl data
Guillaume Wenzek, Marie-Anne Lachaux, Alexis Conneau, Vishrav Chaudhary, Francisco Guzmán, Armand Joulin, and Édouard Grave · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, et al · 2020
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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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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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Deepcad: A deep generative network for computer-aided design models
Rundi Wu, Chang Xiao, and Changxi Zheng · 2021
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LoRA: Low-rank adaptation of large language models
Edward J Hu, yelong shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 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
Xiang Xu, Karl D.D. 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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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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Fine-tuned language models generate stable inorganic materials as text
Nate Gruver, Anuroop Sriram, Andrea Madotto, Andrew Gordon Wilson, C. Lawrence Zitnick, and Zachary Ward Ulissi · 2024
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Motiongpt: Human motion as a foreign language
Biao Jiang, Xin Chen, Wen Liu, Jingyi Yu, Gang Yu, and Tao Chen · 2024
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Cad-signet: Cad language inference from point clouds using layer-wise sketch instance guided attention
Mohammad Sadil Khan, Elona Dupont, Sk Aziz Ali, Kseniya Cherenkova, Anis Kacem, and Djamila Aouada · 2024
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Visual instruction tuning
Haotian Liu, Chunyuan Li, Qingyang Wu, and Yong Jae Lee · 2024
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Cheap and quick: Efficient vision-language instruction tuning for large language models
Gen Luo, Yiyi Zhou, Tianhe Ren, Shengxin Chen, Xiaoshuai Sun, and Rongrong Ji · 2024
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Fine-tuning llama for multi-stage text retrieval
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Solidgen: An autoregressive model for direct b-rep synthesis
Pradeep Kumar Jayaraman, Joseph George Lambourne, Nishkrit Desai, Karl Willis, Aditya Sanghi, and Nigel J. W. Morris · 2023
Cited alongside, same era.
Secad-net: Self-supervised cad reconstruction by learning sketch-extrude operations
Pu Li, Jianwei Guo, Xiaopeng Zhang, and Dong-Ming Yan · 2023
Cited alongside, same era.
How can large language models help humans in design and manufacturing?
Liane Makatura, Michael Foshey, Bohan Wang, Felix HähnLein, Pingchuan Ma, Bolei Deng, Megan Tjandrasuwita, Andrew Spielberg, Crystal Elaine Owens, Peter Yichen Chen, et al · 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, Tal Remez, Jérémy Rapin, et al · 2023
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Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
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Hierarchical neural coding for controllable CAD model generation
Xiang Xu, Pradeep Kumar Jayaraman, Joseph George Lambourne, Karl D.D. Willis, and Yasutaka Furukawa · 2023
Cited alongside, same era.
Scaling instruction-finetuned language models
Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, et al · 2024
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Xueguang Ma, Liang Wang, Nan Yang, Furu Wei, and Jimmy Lin · 2024
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Introducing meta llama 3: The most capable openly available llm to date
AI Meta · 2024
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Unigen: A unified framework for textual dataset generation using large language models
Siyuan Wu, Yue Huang, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Xiangliang Zhang, Jianfeng Gao, Chaowei Xiao, et al · 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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D2csg: Unsupervised learning of compact csg trees with dual complements and dropouts
Fenggen Yu, Qimin Chen, Maham Tanveer, Ali Mahdavi Amiri, and Hao Zhang · 2024
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LLaMA-adapter: Efficient fine-tuning of large language models with zero-initialized attention
Renrui Zhang, Jiaming Han, Chris Liu, Aojun Zhou, Pan Lu, Yu Qiao, Hongsheng Li, and Peng Gao · 2024
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Llama-excitor: General instruction tuning via indirect feature interaction
Bo Zou, Chao Yang, Yu Qiao, Chengbin Quan, and Youjian Zhao · 2024
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