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Prototyping complex computer-aided design (CAD) models in modern softwares can be very time-consuming.
The Hungarian Method for the Assignment Problem
Harold W. Kuhn · 1955
Earlier work this paper cites.
A natural language interface for computer-aided design
Tariq Samad · 1986
Earlier work this paper cites.
A learning algorithm for continually running fully recurrent neural networks
Ronald J. Williams and David Zipser · 1989
Earlier work this paper cites.
Cad system use and engineering performance
David Robertson and Thomas J Allen · 1993
Earlier work this paper cites.
Feature-based part modeling and process planning for rapid response manufacturing
John G Cherng, Xin-Yu Shao, Yubao Chen, and Peter R Sferro · 1998
Earlier work this paper cites.
Interaction design of tools for fostering creativity in the early stages of information design
Yasuhiro Yamamoto and Kumiyo Nakakoji · 2005
Earlier work this paper cites.
Google protocol buffers: Google’s data interchange format
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Earlier work this paper cites.
Pointer networks
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Earlier work this paper cites.
Thingi10k: A dataset of 10, 000 3d-printing models
Qingnan Zhou and Alec Jacobson · 2016
Earlier work this paper cites.
Attention is all you need
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Earlier work this paper cites.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
Earlier work this paper cites.
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
Earlier work this paper cites.
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2019
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Parametric cad modeling for open source scientific hardware: Comparing openscad and freecad python scripts
Felipe Machado, Norberto Malpica, and Susana Borromeo · 2019
Earlier work this paper cites.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei · 2020
Earlier work this paper cites.
Pvdeconv: Point-voxel deconvolution for autoencoding cad construction in 3d
Kseniya Cherenkova, Djamila Aouada, and Gleb Gusev · 2020
Earlier work this paper cites.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Earlier work this paper cites.
The curious case of neural text degeneration
Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi · 2020
Earlier work this paper cites.
Polygen: An autoregressive generative model of 3d meshes
Charlie Nash, Yaroslav Ganin, SM Ali Eslami, and Peter Battaglia · 2020
Earlier work this paper cites.
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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Computer-aided design as language
Y. Ganin, S. Bartunov, Y. Li, E. Keller, and S. Saliceti · 2021
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Zero-shot text-guided object generation with dream fields
Ajay Jain, Ben Mildenhall, Jonathan T. Barron, P. Abbeel, and Ben Poole · 2021
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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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Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng · 2021
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Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin Feng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, and Ting Liu · 2023
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Albert Q Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, et al · 2023
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Magic3d: High-resolution text-to-3d content creation
Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, and Tsung-Yi Lin · 2023
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Visual instruction tuning
Haotian Liu, Chunyuan Li, Qingyang Wu, and Yong Jae Lee · 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
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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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Engineering sketch generation for computer-aided design
Karl DD Willis, Pradeep Kumar Jayaraman, Joseph G Lambourne, Hang Chu, and Yewen Pu · 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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Cadops-net: Jointly learning cad operation types and steps from boundary-representations
Elona Dupont, Kseniya Cherenkova, Anis Kacem, Sk Aziz Ali, Ilya Aryhannikov, Gleb Gusev, and Djamila Aouada · 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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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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Neurosymbolic models for computer graphics
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Clip-sculptor: Zero-shot generation of high-fidelity and diverse shapes from natural language
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Llama: Open and efficient foundation language models
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Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distillation
Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, and Jun Zhu · 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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Gpt-4v(ision) as a generalist evaluator for vision-language tasks
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Albert Q Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Emma Bou Hanna, Florian Bressand, et al · 2024
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Contrastcad: Contrastive learning-based representation learning for computer-aided design models
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Cad-signet: Cad language inference from point clouds using layer-wise sketch instance guided attention
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Gpt-4v(ision) is a human-aligned evaluator for text-to-3d generation
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