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Category-level object pose estimation aims to find 6D object poses of previously unseen object instances from known categories without access to object CAD models.
Alignment of 3D models
Mohamed Chaouch and Anne Verroust-Blondet · 2009
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Shapenet: An information-rich 3D model repository
Angel X. Chang, Thomas Funkhouser, Leonidas Guibas, Pat Hanrahan, Qixing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, et al · 2015
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3d shapenets: A deep representation for volumetric shapes
Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, and Jianxiong Xiao · 2015
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Autocorrelation descriptor for efficient co-alignment of 3d shape collections
Melinos Averkiou, Vladimir G Kim, and Niloy J Mitra · 2016
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A point set generation network for 3d object reconstruction from a single image
Haoqiang Fan, Hao Su, and Leonidas J Guibas · 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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Unsupervised learning of shape and pose with differentiable point clouds
Eldar Insafutdinov and Alexey Dosovitskiy · 2018
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Manifold learning in quotient spaces
Eloi Mehr, André Lieutier, Fernando Sanchez Bermudez, Vincent Guitteny, Nicolas Thome, and Matthieu Cord · 2018
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Domain transfer for 3D pose estimation from color images without manual annotations
Mahdi Rad, Markus Oberweger, and Vincent Lepetit · 2018
Cited alongside, same era.
Tensor field networks: Rotation-and translation-equivariant neural networks for 3D point clouds
Nathaniel Thomas, Tess Smidt, Steven Kearnes, Lusann Yang, Li Li, Kai Kohlhoff, and Patrick Riley · 2018
Cited alongside, same era.
Multi-view consistency as supervisory signal for learning shape and pose prediction
Shubham Tulsiani, Alexei A Efros, and Jitendra Malik · 2018
Cited alongside, same era.
Effective rotation-invariant point cnn with spherical harmonics kernels
Adrien Poulenard, Marie-Julie Rakotosaona, Yann Ponty, and Maks Ovsjanikov · 2019
Cited alongside, same era.
Kpconv: Flexible and deformable convolution for point clouds
Hugues Thomas, Charles R Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, and Leonidas J Guibas · 2019
Cited alongside, same era.
Category-level articulated object pose estimation
Xiaolong Li, He Wang, Li Yi, Leonidas J. Guibas, A. Lynn Abbott, and Shuran Song · 2020
Later among the works it cites.
Augmented autoencoders: Implicit 3D orientation learning for 6D object detection
Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner, and Rudolph Triebel · 2020
Later among the works it cites.
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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6-pack: Category-level 6d pose tracker with anchor-based keypoints
Chen Wang, Roberto Martín-Martín, Danfei Xu, Jun Lv, Cewu Lu, Li Fei-Fei, Silvio Savarese, and Yuke Zhu · 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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Normalized object coordinate space for category-level 6d object pose and size estimation
He Wang, Srinath Sridhar, Jingwei Huang, Julien Valentin, Shuran Song, and Leonidas J Guibas · 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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Category level object pose estimation via neural analysis-by-synthesis
Xu Chen, Zijian Dong, Jie Song, Andreas Geiger, and Otmar Hilliges · 2020
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Se (3)-transformers: 3d roto-translation equivariant attention networks
Fabian B Fuchs, Daniel E Worrall, Volker Fischer, and Max Welling · 2020
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Yang You, Yujing Lou, Qi Liu, Yu-Wing Tai, Lizhuang Ma, Cewu Lu, and Weiming Wang · 2020
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Quaternion equivariant capsule networks for 3D point clouds
Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas Guibas, and Federico Tombari · 2020
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Equivariant point network for 3d point cloud analysis
Haiwei Chen, Shichen Liu, Weikai Chen, Hao Li, and Randall Hill · 2021
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Vector neurons: A general framework for SO(3)-equivariant networks
Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacchi, and Leonidas Guibas · 2021
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