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Category-level articulated object pose estimation aims to estimate a hierarchy of articulation-aware object poses of an unseen articulated object from a known category.
Manipulating articulated objects with interactive perception
Dov Katz and Oliver Brock · 2008
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Learning implicit fields for generative shape modeling
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Hugues Thomas, Charles R Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, and Leonidas J Guibas · 2019
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Garmentnets: Category-level pose estimation for garments via canonical space shape completion
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Unsupervised pose-aware part decomposition for 3d articulated objects
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Single-view robot pose and joint angle estimation via render & compare
Yann Labbé, Justin Carpentier, Mathieu Aubry, and Josef Sivic · 2021
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Leveraging se(3) equivariance for self-supervised category-level object pose estimation, 2021
Xiaolong Li, Yijia Weng, Li Yi, Leonidas Guibas, A. Lynn Abbott, Shuran Song, and He Wang · 2021
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Toward real-world category-level articulation pose estimation
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Sapien: A simulated part-based interactive environment
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Quaternion equivariant capsule networks for 3d point clouds
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Equivariant point network for 3d point cloud analysis
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Iterative closest point
ICP
Cited in the paper.
Category-level articulated object pose estimation
Xiaolong Li, He Wang, Li Yi, Leonidas J Guibas, A Lynn Abbott, and Shuran Song
Cited in the paper.
Tongzhou Mu, Zhan Ling, Fanbo Xiang, Derek Yang, Xuanlin Li, Stone Tao, Zhiao Huang, Zhiwei Jia, and Hao Su · 2021
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Neural parts: Learning expressive 3d shape abstractions with invertible neural networks
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Unsupervised learning for cuboid shape abstraction via joint segmentation from point clouds
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Human hands as probes for interactive object understanding
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Ditto: Building digital twins of articulated objects from interaction
Zhenyu Jiang, Cheng-Chun Hsu, and Yuke Zhu · 2022
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