Fetching the paper…
Reading the bibliography…
Computer-Aided Design (CAD) models are typically constructed by sequentially drawing parametric sketches and applying CAD operations to obtain a 3D model.
Industrial inspection and reverse engineering
Tarek M Sobh, J Owen, C Jaynes, Mohamed Dekhil, and Thomas C Henderson · 1994
Earlier work this paper cites.
Simultaneous registration of multiple range views for use in reverse engineering of cad models
David W Eggert, Andrew W Fitzgibbon, and Robert B Fisher · 1998
Earlier work this paper cites.
Detecting design intent in approximate cad models using symmetry
Ming Li, Frank C Langbein, and Ralph R Martin · 2010
Earlier work this paper cites.
Comparing 3d cad models: uses, methods, tools and perspectives
Antoine Brière-Côté, Louis Rivest, and Roland Maranzana · 2012
Earlier work this paper cites.
Parametric cad modeling: An analysis of strategies for design reusability
Jorge D Camba, Manuel Contero, and Pedro Company · 2016
Earlier work this paper cites.
Optimizing evolutionary csg tree extraction
Markus Friedrich, Pierre-Alain Fayolle, Thomas Gabor, and Claudia Linnhoff-Popien · 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.
Supervised fitting of geometric primitives to 3d point clouds
Lingxiao Li, Minhyuk Sung, Anastasia Dubrovina, Li Yi, and Leonidas J Guibas · 2019
Earlier work this paper cites.
Distilbert, a distilled version of bert: smaller, faster, cheaper and lighter
V Sanh · 2019
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.
Ucsg-net-unsupervised discovering of constructive solid geometry tree
Kacper Kania, Maciej Zieba, and Tomasz Kajdanowicz · 2020
Earlier work this paper cites.
Fast industrial product design method and its application based on 3d cad system
Fei Liu · 2020
Earlier work this paper cites.
Parsenet: A parametric surface fitting network for 3d point clouds
Gopal Sharma, Difan Liu, Subhransu Maji, Evangelos Kalogerakis, Siddhartha Chaudhuri, and Radomír Měch · 2020
Earlier work this paper cites.
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
Earlier work this paper cites.
A case study on use of 3d scanning for reverse engineering and quality control
Robin H Helle and Hirpa G Lemu · 2021
Earlier work this paper cites.
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
Earlier work this paper cites.
Pc2wf: 3d wireframe reconstruction from raw point clouds
Yujia Liu, Stefano D’Aronco, Konrad Schindler, and Jan Dirk Wegner · 2021
Earlier work this paper cites.
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
Earlier work this paper cites.
Deepcad: A deep generative network for computer-aided design models
Rundi Wu, Chang Xiao, and Changxi Zheng · 2021
Earlier work this paper cites.
Inferring cad modeling sequences using zone graphs
Xianghao Xu, Wenzhe Peng, Chin-Yi Cheng, Karl DD Willis, and Daniel Ritchie · 2021
Earlier work this paper cites.
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
Cited alongside, same era.
Complexgen: Cad reconstruction by b-rep chain complex generation
Haoxiang Guo, Shilin Liu, Hao Pan, Yang Liu, Xin Tong, and Baining Guo · 2022
Cited alongside, same era.
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
Cited alongside, same era.
Pythonocc - 3d cad/bim/plm/cam framework, 2022
Thomas Paviot · 2022
Cited alongside, same era.
Extrudenet: Unsupervised inverse sketch-and-extrude for shape parsing
Daxuan Ren, Jianmin Zheng, Jianfei Cai, Jiatong Li, and Junzhe Zhang · 2022
Cited alongside, same era.
Vitruvion: A generative model of parametric cad sketches
Ll3da: Visual interactive instruction tuning for omni-3d understanding reasoning and planning
Sijin Chen, Xin Chen, Chi Zhang, Mingsheng Li, Gang Yu, Hao Fei, Hongyuan Zhu, Jiayuan Fan, and Tao Chen · 2024
Closest in time.
Spelsnet: Surface primitive elements segmentation by b-rep graph structure supervision
Kseniya Cherenkova, Elona Dupont, Anis Kacem, Gleb Gusev, and Djamila Aouada · 2024
Closest in time.
Cadquery: A python parametric cad scripting framework
CADQuery Developers · 2024
Closest in time.
Transcad: A hierarchical transformer for cad sequence inference from point clouds
Elona Dupont, Kseniya Cherenkova, Dimitrios Mallis, Gleb Gusev, Anis Kacem, and Djamila Aouada · 2024
Closest in time.
Onellm: One framework to align all modalities with language
Jiaming Han, Kaixiong Gong, Yiyuan Zhang, Jiaqi Wang, Kaipeng Zhang, Dahua Lin, Yu Qiao, Peng Gao, and Xiangyu Yue · 2024
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Ari Seff, Wenda Zhou, Nick Richardson, and Ryan P Adams · 2022
Cited alongside, same era.
Point2cyl: Reverse engineering 3d objects from point clouds to extrusion cylinders
Mikaela Angelina Uy, Yen-Yu Chang, Minhyuk Sung, Purvi Goel, Joseph G Lambourne, Tolga Birdal, and Leonidas J Guibas · 2022
Cited alongside, same era.
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
Cited alongside, same era.
Pointclip: Point cloud understanding by clip
Renrui Zhang, Ziyu Guo, Wei Zhang, Kunchang Li, Xupeng Miao, Bin Cui, Yu Qiao, Peng Gao, and Hongsheng Li · 2022
Cited alongside, same era.
Sepicnet: Sharp edges recovery by parametric inference of curves in 3d shapes
Kseniya Cherenkova, Elona Dupont, Anis Kacem, Ilya Arzhannikov, Gleb Gusev, and Djamila Aouada · 2023
Cited alongside, same era.
Reparamcad: Zero-shot cad re-parameterization for interactive manipulation
Milin Kodnongbua, Benjamin Jones, Maaz Bin Safeer Ahmad, Vladimir Kim, and Adriana Schulz · 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.
Mohammad Sadil Khan, Elona Dupont, Sk Aziz Ali, Kseniya Cherenkova, Anis Kacem, and Djamila Aouada · 2024
Closest in time.
Sfmcad: Unsupervised cad reconstruction by learning sketch-based feature modeling operations
Pu Li, Jianwei Guo, Huibin Li, Bedrich Benes, and Dong-Ming Yan · 2024
Closest in time.
Openshape: Scaling up 3d shape representation towards open-world understanding
Minghua Liu, Ruoxi Shi, Kaiming Kuang, Yinhao Zhu, Xuanlin Li, Shizhong Han, Hong Cai, Fatih Porikli, and Hao Su · 2024
Closest in time.
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
Closest in time.
Gpt-4 technical report, 2024
OpenAI · 2024
Closest in time.
Can large language models understand symbolic graphics programs?
Zeju Qiu, Weiyang Liu, Haiwen Feng, Zhen Liu, Tim Z Xiao, Katherine M Collins, Joshua B Tenenbaum, Adrian Weller, Michael J Black, and Bernhard Schölkopf · 2024
Closest in time.
Qwen2-1.5b
Qwen Team · 2024
Closest in time.
Pointllm: Empowering large language models to understand point clouds
Runsen Xu, Xiaolong Wang, Tai Wang, Yilun Chen, Jiangmiao Pang, and Dahua Lin · 2024
Closest in time.
Ulip-2: Towards scalable multimodal pre-training for 3d understanding
Le Xue, Ning Yu, Shu Zhang, Artemis Panagopoulou, Junnan Li, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, and Silvio Savarese · 2024
Closest in time.
Qwen2 technical report, 2024
An Yang, Baosong Yang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Zhou, Chengpeng Li, Chengyuan Li, Dayiheng Liu, Fei Huang, Guanting Dong, Haoran Wei, Huan Lin, Jialong Tang, Jialin Wang, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Ma, Jianxin Yang, Jin Xu, Jingren Zhou, Jinze Bai, Jinzheng He, Junyang Lin, Kai Dang, Keming Lu, Keqin Chen, Kexin Yang, Mei Li, Mingfeng Xue, Na Ni, Pei Zhang, Peng Wang, Ru Peng, Rui Men, Ruize Gao, Runji Lin, Shijie Wang, Shuai Bai, Sinan Tan, Tianhang Zhu, Tianhao Li, Tianyu Liu, Wenbin Ge, Xiaodong Deng, Xiaohuan Zhou, Xingzhang Ren, Xinyu Zhang, Xipin Wei, Xuancheng Ren, Xuejing Liu, Yang Fan, Yang Yao, Yichang Zhang, Yu Wan, Yunfei Chu, Yuqiong Liu, Zeyu Cui, Zhenru Zhang, Zhifang Guo, and Zhihao Fan · 2024
Closest in time.
Yang You, Mikaela Angelina Uy, Jiaqi Han, Rahul Thomas, Haotong Zhang, Suya You, and Leonidas Guibas · 2024
Closest in time.
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
Closest in time.
Cadtalk: An algorithm and benchmark for semantic commenting of cad programs
Haocheng Yuan, Jing Xu, Hao Pan, Adrien Bousseau, Niloy J Mitra, and Changjian Li · 2024
Closest in time.
Generating CAD code with vision-language models for 3d designs
Kamel Alrashedy, Pradyumna Tambwekar, Zulfiqar Haider Zaidi, Megan Langwasser, Wei Xu, and Matthew Gombolay · 2025
Closest in time.