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6D object pose estimation is one of the fundamental problems in computer vision and robotics research.
Least-squares estimation of transformation parameters between two point patterns
Shinji Umeyama · 1991
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Single image 3d object detection and pose estimation for grasping
Menglong Zhu, Konstantinos G Derpanis, Yinfei Yang, Samarth Brahmbhatt, Mabel Zhang, Cody Phillips, Matthieu Lecce, and Kostas Daniilidis · 2014
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A large dataset of object scans
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Jaesik Park, Qian-Yi Zhou, and Vladlen Koltun · 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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Posecnn: A convolutional neural network for 6d object pose estimation in cluttered scenes
Yu Xiang, Tanner Schmidt, Venkatraman Narayanan, and Dieter Fox · 2017
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Pyramid scene parsing network
Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, and Jiaya Jia · 2017
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Learning category-specific mesh reconstruction from image collections
Angjoo Kanazawa, Shubham Tulsiani, Alexei A Efros, and Jitendra Malik · 2018
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Making deep heatmaps robust to partial occlusions for 3d object pose estimation
Markus Oberweger, Mahdi Rad, and Vincent Lepetit · 2018
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Deep object pose estimation for semantic robotic grasping of household objects
Jonathan Tremblay, Thang To, Balakumar Sundaralingam, Yu Xiang, Dieter Fox, and Stan Birchfield · 2018
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Learning to predict 3d objects with an interpolation-based differentiable renderer
Wenzheng Chen, Huan Ling, Jun Gao, Edward Smith, Jaakko Lehtinen, Alec Jacobson, and Sanja Fidler · 2019
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Convolution in the cloud: Learning deformable kernels in 3d graph convolution networks for point cloud analysis
Zhi-Hao Lin, Sheng-Yu Huang, and Yu-Chiang Frank Wang · 2020
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Fabian Manhardt, Gu Wang, Benjamin Busam, Manuel Nickel, Sven Meier, Luca Minciullo, Xiangyang Ji, and Nassir Navab · 2020
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Introducing pose consistency and warp-alignment for self-supervised 6d object pose estimation in color images
Juil Sock, Guillermo Garcia-Hernando, Anil Armagan, and Tae-Kyun Kim · 2020
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Shape prior deformation for categorical 6d object pose and size estimation
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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Learning view priors for single-view 3d reconstruction
Hiroharu Kato and Tatsuya Harada · 2019
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Soft rasterizer: A differentiable renderer for image-based 3d reasoning
Shichen Liu, Tianye Li, Weikai Chen, and Hao Li · 2019
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6-dof graspnet: Variational grasp generation for object manipulation
Arsalan Mousavian, Clemens Eppner, and Dieter Fox · 2019
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Pvnet: Pixel-wise voting network for 6dof pose estimation
Sida Peng, Yuan Liu, Qixing Huang, Xiaowei Zhou, and Hujun Bao · 2019
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Disentangling monocular 3d object detection
Andrea Simonelli, Samuel Rota Bulo, Lorenzo Porzi, Manuel López-Antequera, and Peter Kontschieder · 2019
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Dpod: 6d pose object detector and refiner
Sergey Zakharov, Ivan Shugurov, and Slobodan Ilic · 2019
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Pvn3d: A deep point-wise 3d keypoints voting network for 6dof pose estimation
Yisheng He, Wei Sun, Haibin Huang, Jianran Liu, Haoqiang Fan, and Jian Sun · 2020
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Robust, occlusion-aware pose estimation for objects grasped by adaptive hands
Bowen Wen, Chaitanya Mitash, Sruthi Soorian, Andrew Kimmel, Avishai Sintov, and Kostas E Bekris · 2020
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Teaser: Fast and certifiable point cloud registration
Heng Yang, Jingnan Shi, and Luca Carlone · 2020
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inerf: Inverting neural radiance fields for pose estimation
Lin Yen-Chen, Pete Florence, Jonathan T Barron, Alberto Rodriguez, Phillip Isola, and Tsung-Yi Lin · 2020
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Objectron: A large scale dataset of object-centric videos in the wild with pose annotations
Adel Ahmadyan, Liangkai Zhang, Artsiom Ablavatski, Jianing Wei, and Matthias Grundmann · 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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Fs-net: Fast shape-based network for category-level 6d object pose estimation with decoupled rotation mechanism
Wei Chen, Xi Jia, Hyung Jin Chang, Jinming Duan, Linlin Shen, and Ales Leonardis · 2021
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Ffb6d: A full flow bidirectional fusion network for 6d pose estimation
Yisheng He, Haibin Huang, Haoqiang Fan, Qifeng Chen, and Jian Sun · 2021
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Repose: Fast 6d object pose refinement via deep texture rendering
Shun Iwase, Xingyu Liu, Rawal Khirodkar, Rio Yokota, and Kris M Kitani · 2021
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Common objects in 3d: Large-scale learning and evaluation of real-life 3d category reconstruction
Jeremy Reizenstein, Roman Shapovalov, Philipp Henzler, Luca Sbordone, Patrick Labatut, and David Novotny · 2021
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