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Reconstructing 3D objects into editable programs is pivotal for applications like reverse engineering and shape editing.
Structurenet: Hierarchical graph networks for 3d shape generation
Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy Mitra, and Leonidas J Guibas · 1908
Earlier work this paper cites.
Learning to infer and execute 3d shape programs
Yonglong Tian, Andrew Luo, Xingyuan Sun, Kevin Ellis, William T. Freeman, Joshua B. Tenenbaum, and Jiajun Wu · 2019
Earlier work this paper cites.
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
Earlier work this paper cites.
Sagnet: Structure-aware generative network for 3d-shape modeling
Zhijie Wu, Xiang Wang, Di Lin, Dani Lischinski, Daniel Cohen-Or, and Hui Huang · 2019
Earlier work this paper cites.
Voxsegnet: Volumetric cnns for semantic part segmentation of 3d shapes
Zongji Wang and Feng Lu · 2019
Earlier work this paper cites.
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
Earlier work this paper cites.
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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Deepcad: A deep generative network for computer-aided design models
Rundi Wu, Chang Xiao, and Changxi Zheng · 2021
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Point transformer
Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip HS Torr, and Vladlen Koltun · 2021
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Plad: Learning to infer shape programs with pseudo-labels and approximate distributions
R Kenny Jones, Homer Walke, and Daniel Ritchie · 2022
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Learning to infer 3d shape programs with differentiable renderer
Yichao Liang · 2022
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Solidgen: An autoregressive model for direct b-rep synthesis
Pradeep Kumar Jayaraman, J. Lambourne, Nishkrit Desai, Karl D. D. Willis, Aditya Sanghi, and Nigel Morris · 2022
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Shapecoder: Discovering abstractions for visual programs from unstructured primitives
R Kenny Jones, Paul Guerrero, Niloy J Mitra, and Daniel Ritchie · 2023
Cited alongside, same era.
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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Salad: Part-level latent diffusion for 3d shape generation and manipulation
Juil Koo, Seungwoo Yoo, Minh Hieu Nguyen, and Minhyuk Sung · 2023
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Difffacto: Controllable part-based 3d point cloud generation with cross diffusion
George Kiyohiro Nakayama, Mikaela Angelina Uy, Jiahui Huang, Shi-Min Hu, Ke Li, and Leonidas Guibas · 2023
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Anise: Assembly-based neural implicit surface reconstruction
Dmitry Petrov, Matheus Gadelha, Radomír Měch, and Evangelos Kalogerakis · 2023
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Cad-mllm: Unifying multimodality-conditioned cad generation with mllm, 2024
Jingwei Xu, Zibo Zhao, Chenyu Wang, Wen Liu, Yi Ma, and Shenghua Gao · 2024
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Part123: part-aware 3d reconstruction from a single-view image
Anran Liu, Cheng Lin, Yuan Liu, Xiaoxiao Long, Zhiyang Dou, Hao-Xiang Guo, Ping Luo, and Wenping Wang · 2024
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Partgen: Part-level 3d generation and reconstruction with multi-view diffusion models
Minghao Chen, Roman Shapovalov, Iro Laina, Tom Monnier, Jianyuan Wang, David Novotny, and Andrea Vedaldi · 2024
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Part-aware shape generation with latent 3d diffusion of neural voxel fields
Yuhang Huang, SHilong Zou, Xinwang Liu, and Kai Xu · 2024
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Ahmed Abdelreheem, Ivan Skorokhodov, Maks Ovsjanikov, and Peter Wonka · 2023
Cited alongside, same era.
Partslip: Low-shot part segmentation for 3d point clouds via pretrained image-language models
Minghua Liu, Yinhao Zhu, Hong Cai, Shizhong Han, Zhan Ling, Fatih Porikli, and Hao Su · 2023
Cited alongside, same era.
Yuchen Zhou, Jiayuan Gu, Xuanlin Li, Minghua Liu, Yunhao Fang, and Hao Su · 2023
Cited alongside, same era.
Zerops: High-quality cross-modal knowledge transfer for zero-shot 3d part segmentation
Yuheng Xue, Nenglun Chen, Jun Liu, and Wenyun Sun · 2023
Cited alongside, same era.
Pointclip v2: Prompting clip and gpt for powerful 3d open-world learning
Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyu Guo, Ziyao Zeng, Zipeng Qin, Shanghang Zhang, and Peng Gao · 2023
Cited alongside, same era.
Infinigen indoors: Photorealistic indoor scenes using procedural generation
Alexander Raistrick, Lingjie Mei, Karhan Kayan, David Yan, Yiming Zuo, Beining Han, Hongyu Wen, Meenal Parakh, Stamatis Alexandropoulos, Lahav Lipson, Zeyu Ma, and Jia Deng · 2024
Cited alongside, same era.
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
Cited alongside, same era.
Yunhan Yang, Yukun Huang, Yuan-Chen Guo, Liangjun Lu, Xiaoyang Wu, Edmund Y Lam, Yan-Pei Cao, and Xihui Liu · 2024
Later among the works it cites.
Partdistill: 3d shape part segmentation by vision-language model distillation
Ardian Umam, Cheng-Kun Yang, Min-Hung Chen, Jen-Hui Chuang, and Yen-Yu Lin · 2024
Later among the works it cites.
Segment any mesh: Zero-shot mesh part segmentation via lifting segment anything 2 to 3d
George Tang, William Zhao, Logan Ford, David Benhaim, and Paul Zhang · 2024
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3 × \times 2: 3d object part segmentation by 2d semantic correspondences
Anh Thai, Weiyao Wang, Hao Tang, Stefan Stojanov, James M Rehg, and Matt Feiszli · 2024
Later among the works it cites.
Meshsegmenter: Zero-shot mesh semantic segmentation via texture synthesis
Ziming Zhong, Yanyu Xu, Jing Li, Jiale Xu, Zhengxin Li, Chaohui Yu, and Shenghua Gao · 2024
Later among the works it cites.
Shapelib: designing a library of procedural 3d shape abstractions with large language models
R Kenny Jones, Paul Guerrero, Niloy J Mitra, and Daniel Ritchie · 2025
Closest in time.
Cmt: A cascade mar with topology predictor for multimodal conditional cad generation, 2025
Jianyu Wu, Yizhou Wang, Xiangyu Yue, Xinzhu Ma, Jingyang Guo, Dongzhan Zhou, Wanli Ouyang, and Shixiang Tang · 2025
Closest in time.