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We present SHRED, a method for 3D SHape REgion Decomposition.
BSP-Net: Generating Compact Meshes via Binary Space Partitioning
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Learning Hierarchical Shape Segmentation and Labeling from Online Repositories
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Robust Watertight Manifold Surface Generation Method for ShapeNet Models
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Large-scale point cloud semantic segmentation with superpoint graphs. In Proceedings of the IEEE conference on computer vision and pattern recognition . 4558–4567
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BAE-NET: Branched Autoencoder for Shape Co-Segmentation
Zhiqin Chen, Kangxue Yin, Matthew Fisher, Siddhartha Chaudhuri, and Hao Zhang. 2019b · 2019
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Neural Star Domain as Primitive Representation. In NeurIPS 2020
Yuki Kawana, Yusuke Mukuta, and Tatsuya Harada. 2020 · 2020
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Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories. In International Conference on Learning Representations
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Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Lingjing Wang, Xiang Li, and Yi Fang. 2020 · 2020
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PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. In Computer Vision – ECCV 2020 , Andrea Vedaldi, Horst Bischof, Thomas Brox, and Jan-Michael Frahm (Eds.). Springer International Publishing, Cham, 574–591
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Learning shape templates with structured implicit functions. In Proceedings of the IEEE/CVF International Conference on Computer Vision . 7154–7164
Kyle Genova, Forrester Cole, Daniel Vlasic, Aaron Sarna, William T Freeman, and Thomas Funkhouser. 2019 · 2019
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PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding. In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Kaichun Mo, Shilin Zhu, Angel X. Chang, Li Yi, Subarna Tripathi, Leonidas J. Guibas, and Hao Su. 2019 · 2019
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Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids. In Proceedings IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)
Despoina Paschalidou, Ali Osman Ulusoy, and Andreas Geiger. 2019 · 2019
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Learning Point Embeddings from Shape Repositories for Few-Shot Segmentation. In 2019 International Conference on 3D Vision, 3DV 2019, Québec City, QC, Canada, September 16-19, 2019 . IEEE, 67–75
Gopal Sharma, Evangelos Kalogerakis, and Subhransu Maji. 2019 · 2019
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Learning Adaptive Hierarchical Cuboid Abstractions of 3D Shape Collections
Chun-Yu Sun, Qian-Fang Zou, Xin Tong, and Yang Liu. 2019 · 2019
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Dynamic Graph CNN for Learning on Point Clouds
Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E. Sarma, Michael M. Bronstein, and Justin M. Solomon. 2019 · 2019
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GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud. In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . 3942–3951
Li Yi, Wang Zhao, He Wang, Minhyuk Sung, and Leonidas J. Guibas. 2019 · 2019
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Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer Labels. In CVPR
Xun Xu and Gim Hee Lee. 2020 · 2020
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AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Li Yi, Leonidas J. Guibas, and Hao Zhang. 2020 · 2020
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Meta-Learning 3D Shape Segmentation Functions
Yu Hao and Yi Fang. 2021 · 2021
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3D-MetaConNet: Meta-learning for 3D Shape Classification and Segmentation. In 2021 International Conference on 3D Vision (3DV) . 982–991
Hao Huang, Xiang Li, Lingjing Wang, and Yi Fang. 2021 · 2021
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One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 1726–1736
Zhengzhe Liu, Xiaojuan Qi, and Chi-Wing Fu. 2021 · 2021
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Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks. In Proceedings IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)
Despoina Paschalidou, Angelos Katharopoulos, Andreas Geiger, and Sanja Fidler. 2021 · 2021
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SurFit: Learning to Fit Surfaces Improves Few Shot Learning on Point Clouds
Gopal Sharma, Bidya Dash, Matheus Gadelha, Aruni RoyChowdhury, Marios Loizou, Evangelos Kalogerakis, Liangliang Cao, Erik Learned-Miller, and Rui Wang andSubhransu Maji. 2021 · 2021
Later among the works it cites.
Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination
Peng-Shuai Wang, Yu-Qi Yang, Qian-Fang Zou, Zhirong Wu, Yang Liu, and Xin Tong. 2021b · 2021
Later among the works it cites.
Unsupervised Learning for Cuboid Shape Abstraction via Joint Segmentation from Point Clouds
Kaizhi Yang and Xuejin Chen. 2021 · 2021
Later among the works it cites.
The Neurally-Guided Shape Parser: Grammar-based Labeling of 3D Shape Regions with Approximate Inference. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
R. Kenny Jones, Aalia Habib, Rana Hanocka, and Daniel Ritchie. 2022 · 2022
Closest in time.
Semi-Supervised 3D Shape Segmentation with Multilevel Consistency and Part Substitution
Chunyu Sun, Yiqi Yang, Haoxiang Guo, pengshuai Wang, Xin Tong, Yang Liu, and Shum Heung-Yeung. 2022 · 2022
Closest in time.