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Point clouds provide a compact and efficient representation of 3D shapes.
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Unsupervised representation learning with deep convolutional generative adversarial networks
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Unsupervised learning of video representations using lstms
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Multi-view convolutional neural networks for 3d shape recognition
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3d shapenets: A deep representation for volumetric shapes
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Generative and discriminative voxel modeling with convolutional neural networks
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3d-r2n2: A unified approach for single and multi-view 3d object reconstruction
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Context encoders: Feature learning by inpainting
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Conditional image generation with pixelcnn decoders
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Colorful image colorization
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Improvements to context based self-supervised learning
T. Nathan Mundhenk, D. Ho, and B. Y. Chen · 2018
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Boosting self-supervised learning via knowledge transfer
M. Noroozi, A. Vinjimoor, P. Favaro, and H. Pirsiavash · 2018
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Representation learning with contrastive predictive coding
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Deep fundamental matrix estimation without correspondences
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Generating 3d faces using convolutional mesh autoencoders
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Cross-domain self-supervised multi-task feature learning using synthetic imagery
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Look, listen and learn
R. Arandjelovic and A. Zisserman · 2017
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Unsupervised learning by predicting noise
P. Bojanowski and A. Joulin · 2017
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Scannet: Richly-annotated 3d reconstructions of indoor scenes
A. Dai, A. X. Chang, M. Savva, M. Halber, T. Funkhouser, and M. Nießner · 2017
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A point set generation network for 3d object reconstruction from a single image
H. Fan, H. Su, and L. J. Guibas · 2017
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Stacked generative adversarial networks
X. Huang, Y. Li, O. Poursaeed, J. Hopcroft, and S. Belongie · 2017
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Escape from cells: Deep kd-networks for the recognition of 3d point cloud models
R. Klokov and V. Lempitsky · 2017
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Z. Ren and Y. Jae Lee · 2018
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Time-contrastive networks: Self-supervised learning from video
P. Sermanet, C. Lynch, Y. Chebotar, J. Hsu, E. Jang, S. Schaal, S. Levine, and G. Brain · 2018
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Mining point cloud local structures by kernel correlation and graph pooling
Y. Shen, C. Feng, Y. Yang, and D. Tian · 2018
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Pixel2mesh: Generating 3d mesh models from single rgb images
N. Wang, Y. Zhang, Z. Li, Y. Fu, W. Liu, and Y.-G. Jiang · 2018
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Learning and using the arrow of time
D. Wei, J. J. Lim, A. Zisserman, and W. T. Freeman · 2018
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Foldingnet: Point cloud auto-encoder via deep grid deformation
Y. Yang, C. Feng, Y. Shen, and D. Tian · 2018
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Scores: Shape composition with recursive substructure priors
C. Zhu, K. Xu, S. Chaudhuri, R. Yi, and H. Zhang · 2018
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Acritical analysis of self-supervision, or what we can learn from a single image
Y. M. Asano, C. Rupprecht, and A. Vedaldi · 2019
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View inter-prediction gan: Unsupervised representation learning for 3d shapes by learning global shape memories to support local view predictions
Z. Han, M. Shang, Y.-S. Liu, and M. Zwicker · 2019
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Unsupervised multi-task feature learning on point clouds
K. Hassani and M. Haley · 2019
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Revisiting self-supervised visual representation learning
A. Kolesnikov, X. Zhai, and L. Beyer · 2019
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Relation-shape convolutional neural network for point cloud analysis
Y. Liu, B. Fan, S. Xiang, and C. Pan · 2019
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Occupancy networks: Learning 3d reconstruction in function space
L. Mescheder, M. Oechsle, M. Niemeyer, S. Nowozin, and A. Geiger · 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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Context prediction for unsupervised deep learning on point clouds
J. Sauder and B. Sievers · 2019
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Dynamic graph cnn for learning on point clouds
Y. Wang, Y. Sun, Z. Liu, S. E. Sarma, M. M. Bronstein, and J. M. Solomon · 2019
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Pointconv: Deep convolutional networks on 3d point clouds
W. Wu, Z. Qi, and L. Fuxin · 2019
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Disn: Deep implicit surface network for high-quality single-view 3d reconstruction
Q. Xu, W. Wang, D. Ceylan, R. Mech, and U. Neumann · 2019
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Unsupervised feature learning for point cloud understanding by contrasting and clustering using graph convolutional neural networks
L. Zhang and Z. Zhu · 2019
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3d point capsule networks
Y. Zhao, T. Birdal, H. Deng, and F. Tombari · 2019
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On the continuity of rotation representations in neural networks
Y. Zhou, C. Barnes, J. Lu, J. Yang, and H. Li · 2019
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A comprehensive survey on geometric deep learning
W. Cao, Z. Yan, Z. He, and Z. He · 2020
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