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Real-world sensors often produce incomplete, irregular, and noisy point clouds, making point cloud completion increasingly important.
Semi-supervised learning by entropy minimization
Yves Grandvalet and Yoshua Bengio · 2004
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Semi-supervised learning literature survey
Xiaojin Jerry Zhu · 2005
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Vision meets robotics: The kitti dataset
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun · 2013
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Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks
Dong-Hyun Lee et al · 2013
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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Semi-supervised learning with ladder networks
Antti Rasmus, Mathias Berglund, Mikko Honkala, Harri Valpola, and Tapani Raiko · 2015
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Emily Denton, Sam Gross, and Rob Fergus · 2016
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Mehdi Sajjadi, Mehran Javanmardi, and Tolga Tasdizen · 2016
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Large scale semi-supervised object detection using visual and semantic knowledge transfer
Yuxing Tang, Josiah Wang, Boyang Gao, Emmanuel Dellandréa, Robert Gaizauskas, and Liming Chen · 2016
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Good semi-supervised learning that requires a bad gan
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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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Foldingnet: Point cloud auto-encoder via deep grid deformation
Yaoqing Yang, Chen Feng, Yiru Shen, and Dong Tian · 2018
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Pcn: Point completion network
Wentao Yuan, Tejas Khot, David Held, Christoph Mertz, and Martial Hebert · 2018
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Remixmatch: Semi-supervised learning with distribution alignment and augmentation anchoring
David Berthelot, Nicholas Carlini, Ekin D Cubuk, Alex Kurakin, Kihyuk Sohn, Han Zhang, and Colin Raffel · 2019
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Mixmatch: A holistic approach to semi-supervised learning
David Berthelot, Nicholas Carlini, Ian Goodfellow, Nicolas Papernot, Avital Oliver, and Colin A Raffel · 2019
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Unpaired point cloud completion on real scans using adversarial training
Xuelin Chen, Baoquan Chen, and Niloy J Mitra · 2019
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Label propagation for deep semi-supervised learning
Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, and Ondrej Chum · 2019
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Softpoolnet: Shape descriptor for point cloud completion and classification
Yida Wang, David Joseph Tan, Nassir Navab, and Federico Tombari · 2020
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Grnet: Gridding residual network for dense point cloud completion
Haozhe Xie, Hongxun Yao, Shangchen Zhou, Jiageng Mao, Shengping Zhang, and Wenxiu Sun · 2020
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Detail preserved point cloud completion via separated feature aggregation
Wenxiao Zhang, Qingan Yan, and Chunxia Xiao · 2020
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Sess: Self-ensembling semi-supervised 3d object detection
Na Zhao, Tat-Seng Chua, and Gim Hee Lee · 2020
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Ssn: signature networks for multi-class object detection from point clouds
Xinge Zhu, Yuexin Ma, Tai Wang, Yan Xu, Jianping Shi, and Dahua Lin · 2020
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Pu-gan: a point cloud upsampling adversarial network
Ruihui Li, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-Or, and Pheng-Ann Heng · 2019
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Rl-gan-net: A reinforcement learning agent controlled gan network for real-time point cloud shape completion
Muhammad Sarmad, Hyunjoo Jenny Lee, and Young Min Kim · 2019
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Topnet: Structural point cloud decoder
Lyne P Tchapmi, Vineet Kosaraju, Hamid Rezatofighi, Ian Reid, and Silvio Savarese · 2019
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Data-efficient semi-supervised learning by reliable edge mining
Peibin Chen, Tao Ma, Xu Qin, Weidi Xu, and Shuchang Zhou · 2020
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Feature-metric registration: A fast semi-supervised approach for robust point cloud registration without correspondences
Xiaoshui Huang, Guofeng Mei, and Jian Zhang · 2020
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Pf-net: Point fractal network for 3d point cloud completion
Zitian Huang, Yikuan Yu, Jiawen Xu, Feng Ni, and Xinyi Le · 2020
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Morphing and sampling network for dense point cloud completion
Minghua Liu, Lu Sheng, Sheng Yang, Jing Shao, and Shi-Min Hu · 2020
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Sspc-net: Semi-supervised semantic 3d point cloud segmentation network
Mingmei Cheng, Le Hui, Jin Xie, and Jian Yang · 2021
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Variational relational point completion network
Liang Pan, Xinyi Chen, Zhongang Cai, Junzhe Zhang, Haiyu Zhao, Shuai Yi, and Ziwei Liu · 2021
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Weihao Xia, Yulun Zhang, Yujiu Yang, Jing-Hao Xue, Bolei Zhou, and Ming-Hsuan Yang · 2021
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A survey on deep semi-supervised learning
Xiangli Yang, Zixing Song, Irwin King, and Zenglin Xu · 2021
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Unsupervised 3d shape completion through gan inversion
Junzhe Zhang, Xinyi Chen, Zhongang Cai, Liang Pan, Haiyu Zhao, Shuai Yi, Chai Kiat Yeo, Bo Dai, and Chen Change Loy · 2021
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R-msfm: Recurrent multi-scale feature modulation for monocular depth estimating
Zhongkai Zhou, Xinnan Fan, Pengfei Shi, and Yuanxue Xin · 2021
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Learning a structured latent space for unsupervised point cloud completion
Yingjie Cai, Kwan-Yee Lin, Chao Zhang, Qiang Wang, Xiaogang Wang, and Hongsheng Li · 2022
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Softpool++: An encoder–decoder network for point cloud completion
Yida Wang, David Joseph Tan, Nassir Navab, and Federico Tombari · 2022
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Fbnet: Feedback network for point cloud completion
Xuejun Yan, Hongyu Yan, Jingjing Wang, Hang Du, Zhihong Wu, Di Xie, Shiliang Pu, and Li Lu · 2022
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Adapointr: Diverse point cloud completion with adaptive geometry-aware transformers
Xumin Yu, Yongming Rao, Ziyi Wang, Jiwen Lu, and Jie Zhou · 2023
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