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Shape assembly composes complex shapes geometries by arranging simple part geometries and has wide applications in autonomous robotic assembly and CAD modeling.
The hungarian method for the assignment problem
Harold W Kuhn · 1955
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Modeling by example
Thomas Funkhouser, Michael Kazhdan, Philip Shilane, Patrick Min, William Kiefer, Ayellet Tal, Szymon Rusinkiewicz, and David Dobkin · 2004
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Reassembling fractured objects by geometric matching
Qi-Xing Huang, Simon Flöry, Natasha Gelfand, Michael Hofer, and Helmut Pottmann · 2006
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Data-driven suggestions for creativity support in 3d modeling
Siddhartha Chaudhuri and Vladlen Koltun · 2010
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Probabilistic reasoning for assembly-based 3d modeling
Siddhartha Chaudhuri, Evangelos Kalogerakis, Leonidas Guibas, and Vladlen Koltun · 2011
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Probabilistic reasoning for assembly-based 3d modeling
Siddhartha Chaudhuri, Evangelos Kalogerakis, Leonidas J. Guibas, and Vladlen Koltun · 2011
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Converting 3d furniture models to fabricatable parts and connectors
Manfred Lau, Akira Ohgawara, Jun Mitani, and Takeo Igarashi · 2011
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A probabilistic model for component-based shape synthesis
Evangelos Kalogerakis, Siddhartha Chaudhuri, Daphne Koller, and Vladlen Koltun · 2012
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Structure recovery by part assembly
Chao-Hui Shen, Hongbo Fu, Kang Chen, and Shi-Min Hu · 2012
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Survey on assembly sequencing: a combinatorial and geometrical perspective
Pablo Jiménez · 2013
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Smart variations: Functional substructures for part compatibility
Youyi Zheng, Daniel Cohen-Or, and Niloy J Mitra · 2013
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Analysis and synthesis of 3d shape families via deep-learned generative models of surfaces
Haibin Huang, Evangelos Kalogerakis, and Benjamin Marlin · 2015
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3d fragment reassembly using integrated template guidance and fracture-region matching
Kang Zhang, Wuyi Yu, Mary Manhein, Warren Waggenspack, and Xin Li · 2015
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Assembly-based conceptual 3d modeling with unlabeled components using probabilistic factor graph
Prakhar Jaiswal, Jinmiao Huang, and Rahul Rai · 2016
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Learning to predict part mobility from a single static snapshot
Ruizhen Hu, Wenchao Li, Oliver Van Kaick, Ariel Shamir, Hao Zhang, and Hui Huang · 2017
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Visual genome: Connecting language and vision using crowdsourced dense image annotations
Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David A Shamma, et al · 2017
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Grass: Generative recursive autoencoders for shape structures
Jun Li, Kai Xu, Siddhartha Chaudhuri, Ersin Yumer, Hao Zhang, and Leonidas Guibas · 2017
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Scene graph generation from objects, phrases and region captions
Yikang Li, Wanli Ouyang, Bolei Zhou, Kun Wang, and Xiaogang Wang · 2017
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Recovering functional mechanical assemblies from raw scans
Minmin Lin, Tianjia Shao, Youyi Zheng, Niloy Jyoti Mitra, and Kun Zhou · 2017
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Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas · 2017
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Complementme: weakly-supervised component suggestions for 3d modeling
Minhyuk Sung, Hao Su, Vladimir G Kim, Siddhartha Chaudhuri, and Leonidas Guibas · 2017
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Scene graph generation by iterative message passing
Danfei Xu, Yuke Zhu, Christopher B Choy, and Li Fei-Fei · 2017
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Learning representations and generative models for 3d point clouds
Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas, and Leonidas J Guibas · 2018
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Can robots assemble an ikea chair?
Francisco Suárez-Ruiz, Xian Zhou, and Quang-Cuong Pham · 2018
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Learning robotic assembly from cad
Garrett Thomas, Melissa Chien, Aviv Tamar, Juan Aparicio Ojea, and Pieter Abbeel · 2018
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Graph r-cnn for scene graph generation
Jianwei Yang, Jiasen Lu, Stefan Lee, Dhruv Batra, and Devi Parikh · 2018
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Scene graph prediction with limited labels
Vincent S Chen, Paroma Varma, Ranjay Krishna, Michael Bernstein, Christopher Re, and Li Fei-Fei · 2019
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Sagnet: Structure-aware generative network for 3d-shape modeling
Zhijie Wu, Xiang Wang, Di Lin, Dani Lischinski, Daniel Cohen-Or, and Hui Huang · 2019
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Rpm-net: Recurrent prediction of motion and parts from point cloud
Zihao Yan, Ruizhen Hu, Xingguang Yan, Luanmin Chen, Oliver van Kaick, Hao Zhang, and Hui Huang · 2019
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Form2fit: Learning shape priors for generalizable assembly from disassembly
Kevin Zakka, Andy Zeng, Johnny Lee, and Shuran Song · 2019
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Scenegraphnet: Neural message passing for 3d indoor scene augmentation
Yang Zhou, Zachary While, and Evangelos Kalogerakis · 2019
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Learning generative models of 3d structures
Siddhartha Chaudhuri, Daniel Ritchie, Jiajun Wu, Kai Xu, and Hao Zhang · 2020
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Learning generative models of shape handles
Matheus Gadelha, Giorgio Gori, Duygu Ceylan, Radomir Mech, Nathan Carr, Tamy Boubekeur, Rui Wang, and Subhransu Maji · 2020
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Sdm-net: Deep generative network for structured deformable mesh
Lin Gao, Jie Yang, Tong Wu, Yu-Jie Yuan, Hongbo Fu, Yu-Kun Lai, and Hao Zhang · 2019
Cited alongside, same era.
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
Cited alongside, same era.
Making sense of vision and touch: Self-supervised learning of multimodal representations for contact-rich tasks
Michelle A Lee, Yuke Zhu, Krishnan Srinivasan, Parth Shah, Silvio Savarese, Li Fei-Fei, Animesh Garg, and Jeannette Bohg · 2019
Cited alongside, same era.
Ikea furniture assembly environment for long-horizon complex manipulation tasks
Youngwoon Lee, Edward S Hu, Zhengyu Yang, Alex Yin, and Joseph J Lim · 2019
Cited alongside, same era.
Grains: Generative recursive autoencoders for indoor scenes
Manyi Li, Akshay Gadi Patil, Kai Xu, Siddhartha Chaudhuri, Owais Khan, Ariel Shamir, Changhe Tu, Baoquan Chen, Daniel Cohen-Or, and Hao Zhang · 2019
Cited alongside, same era.
Content-based cad assembly model retrieval: Survey and future challenges
Katia Lupinetti, Jean-Philippe Pernot, Marina Monti, and Franca Giannini · 2019
Cited alongside, same era.
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Compositionally generalizable 3d structure prediction
Songfang Han, Jiayuan Gu, Kaichun Mo, Li Yi, Siyu Hu, Xuejin Chen, and Hao Su · 2020
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Generative 3d part assembly via dynamic graph learning
Jialei Huang, Guanqi Zhan, Qingnan Fan, Kaichun Mo, Lin Shao, Baoquan Chen, Leonidas J Guibas, and Hao Dong · 2020
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Shapeassembly: Learning to generate programs for 3d shape structure synthesis
R Kenny Jones, Theresa Barton, Xianghao Xu, Kai Wang, Ellen Jiang, Paul Guerrero, Niloy J Mitra, and Daniel Ritchie · 2020
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Learning part generation and assembly for structure-aware shape synthesis
Jun Li, Chengjie Niu, and Kai Xu · 2020
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Learning 3d part assembly from a single image
Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung, and Leonidas Guibas · 2020
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Pq-net: A generative part seq2seq network for 3d shapes
Rundi Wu, Yixin Zhuang, Kai Xu, Hao Zhang, and Baoquan Chen · 2020
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Coalesce: Component assembly by learning to synthesize connections
Kangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir Kim, and Hao Zhang · 2020
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Rgl-net: A recurrent graph learning framework for progressive part assembly
Abhinav Narayan Harish, Rajendra Nagar, and Shanmuganathan Raman · 2021
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State of the art on computational design of assemblies with rigid parts
Ziqi Wang, Peng Song, and Mark Pauly · 2021
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Fusion 360 gallery: A dataset and environment for programmatic cad construction from human design sequences
Karl D. D. 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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Inferring cad modeling sequences using zone graphs
Xianghao Xu, Wenzhe Peng, Chin-Yi Cheng, Karl D.D. Willis, and Daniel Ritchie · 2021
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Neural shape mating: Self-supervised object assembly with adversarial shape priors
Yun-Chun Chen, Haoda Li, Dylan Turpin, Alec Jacobson, and Animesh Garg · 2022
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Joinable: Learning bottom-up assembly of parametric cad joints
Karl DD Willis, Pradeep Kumar Jayaraman, Hang Chu, Yunsheng Tian, Yifei Li, Daniele Grandi, Aditya Sanghi, Linh Tran, Joseph G Lambourne, Armando Solar-Lezama, and Wojciech Matusik · 2022
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