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We present a novel approach to learning a point-wise, meaningful embedding for point-clouds in an unsupervised manner, through the use of neural-networks.
Unsupervised visual representation learning by context prediction. In Proceedings of the IEEE International Conference on Computer Vision . 1422–1430
Carl Doersch, Abhinav Gupta, and Alexei A Efros. 2015 · 2015
Earlier work this paper cites.
A scalable active framework for region annotation in 3d shape collections
Li Yi, Vladimir G Kim, Duygu Ceylan, I Shen, Mengyan Yan, Hao Su, Cewu Lu, Qixing Huang, Alla Sheffer, Leonidas Guibas, et al · 2016
Earlier work this paper cites.
Pointnet: Deep learning on point sets for 3d classification and segmentation
Charles R Qi, Hao Su, Kaichun Mo, and Leonidas J Guibas. 2017a · 2017
Earlier work this paper cites.
Learning Representations and Generative Models for 3D Point Clouds
Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas, and Leonidas Guibas. 2018 · 2018
Earlier work this paper cites.
Point Convolutional Neural Networks by Extension Operators
Matan Atzmon, Haggai Maron, and Yaron Lipman. 2018 · 2018
Cited alongside, same era.
Unsupervised Natural Image Patch Learning
Dov Danon, Hadar Averbuch-Elor, Ohad Fried, and Daniel Cohen-Or. 2018 · 2018
Cited alongside, same era.
PCPNet Learning Local Shape Properties from Raw Point Clouds. In Computer Graphics Forum , Vol. 37. Wiley Online Library, 75–85
Paul Guerrero, Yanir Kleiman, Maks Ovsjanikov, and Niloy J Mitra. 2018 · 2018
Cited alongside, same era.
Yangyan Li, Rui Bu, Mingchao Sun, and Baoquan Chen. 2018a · 2018
Cited alongside, same era.
Ppf-foldnet: Unsupervised learning of rotation invariant 3d local descriptors
Haowen Deng, Tolga Birdal, and Slobodan Ilic. [n. d.]
Cited in the paper.
SO-Net: Self-Organizing Network for Point Cloud Analysis. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition . 9397–9406
Jiaxin Li, Ben M Chen, and Gim Hee Lee. 2018b
Cited in the paper.
Pointnet++: Deep hierarchical feature learning on point sets in a metric space. In Advances in Neural Information Processing Systems . 5099–5108
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas. 2017b
Cited in the paper.
PointGrow: Autoregressively Learned Point Cloud Generation with Self-Attention
Yongbin Sun, Yue Wang, Ziwei Liu, Joshua E Siegel, and Sanjay E Sarma. 2018 · 2018
Later among the works it cites.
Dynamic graph CNN for learning on point clouds
Yue Wang, Yongbin Sun, Ziwei Liu, Sanjay E Sarma, Michael M Bronstein, and Justin M Solomon. 2018 · 2018
Later among the works it cites.
Foldingnet: Point cloud auto-encoder via deep grid deformation. In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) , Vol. 3
Yaoqing Yang, Chen Feng, Yiru Shen, and Dong Tian. 2018 · 2018
Later among the works it cites.
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