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We consider the problem of estimating object pose and shape from an RGB-D image.
Least-squares fitting of two 3-D point sets
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Industrial robotics
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6-dof object pose from semantic keypoints
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Pointnet: Deep learning on point sets for 3D classification and segmentation
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DeepIM: Deep Iterative Matching for 6D Pose Estimation
Yi Li, Gu Wang, Xiangyang Ji, Yu Xiang, and Dieter Fox · 2018
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FiLM: Visual Reasoning with a General Conditioning Layer
Ethan Perez, Florian Strub, Harm de Vries, Vincent Dumoulin, and Aaron Courville · 2018
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PoseCNN: A convolutional neural network for 6D object pose estimation in cluttered scenes
Yu Xiang, Tanner Schmidt, Venkatraman Narayanan, and Dieter Fox · 2018
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Satellite pose estimation with deep landmark regression and nonlinear pose refinement
Bo Chen, Jiewei Cao, Alvaro Parra, and Tat-Jun Chin · 2019
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DeepSDF: Learning continuous signed distance functions for shape representation
J.J. Park, P. Florence, J. Straub, R. Newcombe, and S. Lovegrove · 2019
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Pytorch: An imperative style, high-performance deep learning library
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Normalized object coordinate space for category-level 6d object pose and size estimation
H. Wang, S. Sridhar, J. Huang, J. Valentin, S. Song, and L. Guibas · 2019
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PRNet: Self-Supervised Learning for Partial-to-Partial Registration
Yue Wang and Justin M Solomon · 2019
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Learning canonical shape space for category-level 6d object pose and size estimation
Dengsheng Chen, Jun Li, Zheng Wang, and Kai Xu · 2020
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BOP challenge 2020 on 6D object localization
Tomáš Hodaň, Martin Sundermeyer, Bertram Drost, Yann Labbé, Eric Brachmann, Frank Michel, Carsten Rother, and Jiří Matas · 2020
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CosyPose: Consistent multi-view multi-object 6D pose estimation
Y. Labbe, J. Carpentier, M. Aubry, and J. Sivic · 2020
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Shape prior deformation for categorical 6d object pose and size estimation
Megapose: 6d pose estimation of novel objects via render & compare
Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, and Josef Sivic · 2022
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Self-supervised category-level 6d object pose estimation with deep implicit shape representation
Wanli Peng, Jianhang Yan, Hongtao Wen, and Yi Sun · 2022
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Category-level 6d object pose estimation in the wild: A semi-supervised learning approach and a new dataset
Yanjie Ze and Xiaolong Wang · 2022
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Omni3d: A large benchmark and model for 3d object detection in the wild
Garrick Brazil, Abhinav Kumar, Julian Straub, Nikhila Ravi, Justin Johnson, and Georgia Gkioxari · 2023
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Dinov2: Learning robust visual features without supervision
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, et al · 2023
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Meng Tian, Marcelo H Ang, and Gim Hee Lee · 2020
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Self6D: Self-supervised monocular 6D object pose estimation
Gu Wang, Fabian Manhardt, Jianzhun Shao, Xiangyang Ji, Nassir Navab, and Federico Tombari · 2020
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pi-gan: Periodic implicit generative adversarial networks for 3d-aware image synthesis
Eric R Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, and Gordon Wetzstein · 2021
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Sgpa: Structure-guided prior adaptation for category-level 6d object pose estimation
Kai Chen and Qi Dou · 2021
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Category-level metric scale object shape and pose estimation
Taeyeop Lee, Byeong-Uk Lee, Myungchul Kim, and In So Kweon · 2021
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Dualposenet: Category-level 6d object pose and size estimation using dual pose network with refined learning of pose consistency
Jiehong Lin, Zewei Wei, Zhihao Li, Songcen Xu, Kui Jia, and Yuanqing Li · 2021
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Vision transformers for dense prediction
René Ranftl, Alexey Bochkovskiy, and Vladlen Koltun · 2021
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A correct-and-certify approach to self-supervise object pose estimators via ensemble self-training
J. Shi, R. Talak, D. Maggio, and L. Carlone · 2023
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Certifiable 3D object pose estimation: Foundations, learning models, and self-training
R. Talak, L. Peng, and L. Carlone · 2023
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Bundlesdf: Neural 6-dof tracking and 3d reconstruction of unknown objects
Bowen Wen, Jonathan Tremblay, Valts Blukis, Stephen Tyree, Thomas Müller, Alex Evans, Dieter Fox, Jan Kautz, and Stan Birchfield · 2023
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Unsupervised template-assisted point cloud shape correspondence network
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