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Reasoning about 3D objects based on 2D images is challenging due to variations in appearance caused by viewing the object from different orientations.
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, Jianxiong Xiao, Li Yi, and Fisher Yu · 2015
Earlier work this paper cites.
Multi-view convolutional neural networks for 3d shape recognition
Hang Su, Subhransu Maji, Evangelos Kalogerakis, and Erik Learned-Miller · 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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On the continuity of rotation representations in neural networks
Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, and Hao Li · 2015
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Gift: A real-time and scalable 3d shape search engine
Song Bai, Xiang Bai, Zhichao Zhou, Zhaoxiang Zhang, and Longin Jan Latecki · 2016
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Group equivariant convolutional networks
Taco Cohen and Max Welling · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Dynamic filter networks
Xu Jia, Bert De Brabandere, Tinne Tuytelaars, and Luc V Gool · 2016
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Orientation-boosted voxel nets for 3d object recognition
Nima Sedaghat, Mohammadreza Zolfaghari, Ehsan Amiri, and Thomas Brox · 2016
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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles Ruizhongtai Qi, Li Yi, Hao Su, 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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Spherical cnns
Taco S. Cohen, Mario Geiger, Jonas Köhler, and Max Welling · 2018
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Blender - a 3D modelling and rendering package
Blender Online Community · 2018
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Learning so(3) equivariant representations with spherical cnns
Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia, and Kostas Daniilidis · 2018
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Explorations in homeomorphic variational auto-encoding
Luca Falorsi, Pim de Haan, Tim R Davidson, Nicola De Cao, Maurice Weiler, Patrick Forré, and Taco S Cohen · 2018
Cited alongside, same era.
Rotationnet: Joint object categorization and pose estimation using multiviews from unsupervised viewpoints
Asako Kanezaki, Yasuyuki Matsushita, and Yoshifumi Nishida · 2018
Cited alongside, same era.
Tensor field networks: Rotation- and translation-equivariant neural networks for 3d point clouds
Nathaniel Thomas, Tess E. Smidt, Steven Kearnes, Lusann Yang, Li Li, Kai Kohlhoff, and Patrick Riley · 2018
Cited alongside, same era.
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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Gauge equivariant convolutional networks and the icosahedral cnn
Yannick Bukschat and Marcus Vetter · 2020
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Se (3)-transformers: 3d roto-translation equivariant attention networks
Fabian Fuchs, Daniel Worrall, Volker Fischer, and Max Welling · 2020
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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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Pyrender (version 0.1.41)
Matthew Matl et al · 2020
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Nerf: Representing scenes as neural radiance fields for view synthesis
Ben Mildenhall, Pratul P Srinivasan, Matthew Tancik, Jonathan T Barron, Ravi Ramamoorthi, and Ren Ng · 2020
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Taco Cohen, Maurice Weiler, Berkay Kicanaoglu, and Max Welling · 2019
Cited alongside, same era.
Equivariant multi-view networks
Carlos Esteves, Yinshuang Xu, Christine Allen-Blanchette, and Kostas Daniilidis · 2019
Cited alongside, same era.
Cdpn: Coordinates-based disentangled pose network for real-time rgb-based 6-dof object pose estimation
Zhigang Li, Gu Wang, and Xiangyang Ji · 2019
Cited alongside, same era.
Spherical regression: Learning viewpoints, surface normals and 3d rotations on n-spheres
Shuai Liao, Efstratios Gavves, and Cees GM Snoek · 2019
Cited alongside, same era.
kpam: Keypoint affordances for category-level robotic manipulation
Lucas Manuelli, Wei Gao, Peter Florence, and Russ Tedrake · 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.
Revisiting point cloud classification: A new benchmark dataset and classification model on real-world data
Mikaela Angelina Uy, Quang-Hieu Pham, Binh-Son Hua, Duc Thanh Nguyen, and Sai-Kit Yeung · 2019
Cited alongside, same era.
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
Cited alongside, same era.
Robin Quessard, Thomas D. Barrett, and William R. Clements · 2020
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Deep regression on manifolds: a 3d rotation case study
Romain Brégier · 2021
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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 J Guibas · 2021
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Provably strict generalisation benefit for equivariant models
Bryn Elesedy and Sheheryar Zaidi · 2021
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3d-future: 3d furniture shape with texture
Huan Fu, Rongfei Jia, Lin Gao, Mingming Gong, Binqiang Zhao, Stephen J. Maybank, and Dacheng Tao · 2021
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E (3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials
Simon Batzner, Albert Musaelian, Lixin Sun, Mario Geiger, Jonathan P Mailoa, Mordechai Kornbluth, Nicola Molinari, Tess E Smidt, and Boris Kozinsky · 2022
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Learning symmetric embeddings for equivariant world models
Jung Yeon Park, Ondrej Biza, Linfeng Zhao, Jan-Willem van de Meent, and Robin Walters · 2022
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