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We propose a method to learn object representations from 3D point clouds using bundles of geometrically interpretable hidden units, which we call geometric capsules.
Transforming auto-encoders
Geoffrey E. Hinton, Alex Krizhevsky, and Sida D. Wang · 2011
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Adam: A method for stochastic optimization
Diederik Kingma and Jimmy Ba · 2014
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ShapeNet: An information-rich 3D model repository
Angel X. Chang, Thomas A. Funkhouser, Leonidas J. Guibas, Pat Hanrahan, Qi-Xing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, Jianxiong Xiao, Li Yi, and Fisher Yu · 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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Unsupervised cnn for single view depth estimation: Geometry to the rescue
Ravi Garg, BG Vijay Kumar, Gustavo Carneiro, and Ian Reid · 2016
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Unsupervised learning of 3d structure from images
Danilo Jimenez Rezende, S. M. Ali Eslami, Shakir Mohamed, Peter Battaglia, Max Jaderberg, and Nicolas Heess · 2016
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Perspective transformer nets: Learning single-view 3d object reconstruction without 3d supervision
Xinchen Yan, Jimei Yang, Ersin Yumer, Yijie Guo, and Honglak Lee · 2016
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Unsupervised monocular depth estimation with left-right consistency
Clément Godard, Oisin Mac Aodha, and Gabriel J. Brostow · 2017
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Weakly supervised 3d reconstruction with adversarial constraint
JunYoung Gwak, Christopher B Choy, Manmohan Chandraker, Animesh Garg, and Silvio Savarese · 2017
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Automatic differentiation in PyTorch
Adam Paszke, Sam Gross, Soumith Chintala, Gregory Chanan, Edward Yang, Zachary DeVito, Zeming Lin, Alban Desmaison, Luca Antiga, and Adam Lerer · 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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Dynamic routing between capsules
Sara Sabour, Nicholas Frosst, and Geoffrey E. Hinton · 2017
Cited alongside, same era.
Multi-view supervision for single-view reconstruction via differentiable ray consistency
Shubham Tulsiani, Tinghui Zhou, Alexei A. Efros, and Jitendra Malik · 2017
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Unsupervised learning of depth and ego-motion from video
Learning efficient point cloud generation for dense 3d object reconstruction
Chen-Hsuan Lin, Chen Kong, and Simon Lucey · 2018
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Multi-view consistency as supervisory signal for learning shape and pose prediction
Shubham Tulsiani, Alexei A. Efros, and Jitendra Malik · 2018
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FoldingNet: Point cloud auto-encoder via deep grid deformation
Yaoqing Yang, Chen Feng, Yiru Shen, and Dong Tian · 2018
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PointNetLK: Robust & efficient point cloud registration using pointnet
Yasuhiro Aoki, Hunter Goforth, Rangaprasad Arun Srivatsan, and Simon Lucey · 2019
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Stacked capsule autoencoders
Adam R. Kosiorek, Sara Sabour, Yee Whye Teh, and Geoffrey E. Hinton · 2019
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Set transformer: A framework for attention-based permutation-invariant neural networks
Juho Lee, Yoonho Lee, Jungtaek Kim, Adam Kosiorek, Seungjin Choi, and Yee Whye Teh · 2019
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Tinghui Zhou, Matthew Brown, Noah Snavely, and David G. Lowe · 2017
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Rethinking reprojection: Closing the loop for pose-aware shape reconstruction from a single image
Rui Zhu, Hamed Kiani Galoogahi, Chaoyang Wang, and Simon Lucey · 2017
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Matrix capsules with EM routing
Geoffrey E. Hinton, Sara Sabour, and Nicholas Frosst · 2018
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3D point capsule networks
Yongheng Zhao, Tolga Birdal, Haowen Deng, and Federico Tombari · 2019
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Quaternion equivariant capsule networks for 3D point clouds
Anonymous · 2020
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