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Real scans always miss partial geometries of objects due to the self-occlusions, external-occlusions, and limited sensor resolutions.
“Point cloud completion by skip-attention network with hierarchical folding,”
Xin W, Tianyang L, Zhizhong H, and Yu-Shen L, · 1948
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“A robust hole-filling algorithm for triangular mesh,”
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“Analysis, reconstruction and manipulation using arterial snakes,”
Guo Li, Ligang Liu, Hanlin Zheng, and Niloy J Mitra, · 2010
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“A search-classify approach for cluttered indoor scene understanding,”
Liangliang N, Ke X, and Andrei S, · 2012
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“Structure recovery by part assembly,”
Chao-Hui Shen, Hongbo Fu, Kang Chen, and Shi-Min Hu, · 2012
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“Vision meets robotics: The kitti dataset,”
Andreas Geiger, Philip Lenz, Christoph Stiller, and Raquel Urtasun, · 2013
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“State of the art in surface reconstruction from point clouds,”
Matthew Berger, Andrea Tagliasacchi, Lee Seversky, Pierre Alliez, Joshua Levine, Andrei Sharf, and Claudio Silva, · 2014
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“Shapenet: An information-rich 3d model repository,”
Angel X. Chang, Thomas A. Funkhouser, Leonidas J. Guibas, Pat Hanrahan, Qixing Huang, et al., · 2015
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“Data-driven structural priors for shape completion,”
Minhyuk Sung, Vladimir G Kim, Roland Angst, and Leonidas Guibas, · 2015
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“A field model for repairing 3d shapes,”
Duc Thanh Nguyen, Binh-Son Hua, Khoi Tran, Quang-Hieu Pham, and Sai-Kit Yeung, · 2016
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“Scannet: Richly-annotated 3d reconstructions of indoor scenes,”
Angela Dai, Angel X. Chang, and etc., · 2017
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“A point set generation network for 3d object reconstruction from a single image,”
Haoqiang Fan, Hao Su, and Leonidas J Guibas, · 2017
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“Pcn: Point completion network,”
Wentao Y, Tejas K, David H, Christoph M, and Martial H, · 2018
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“Second: Sparsely embedded convolutional detection,”
Yan Yan, Yuxing Mao, and Bo Li, · 2018
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“Aads: Augmented autonomous driving simulation using data-driven algorithms,”
Wei Li, CW Pan, Rong Zhang, JP Ren, YX Ma, et al., · 2019
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“3d point capsule networks,”
Yongheng Zhao, Tolga Birdal, Haowen Deng, and Federico Tombari, · 2019
Cited alongside, same era.
“Detail preserved point cloud completion via separated feature aggregation,”
Wenxiao Zhang, Qingan Yan, and Chunxia Xiao, · 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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“Multimodal shape completion via conditional generative adversarial networks,”
Rundi Wu, Xuelin Chen, Yixin Zhuang, and Baoquan Chen, · 2020
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“nuscenes: A multimodal dataset for autonomous driving,”
Holger C, Varun B, Alex H Lang, Sourabh V, V Erin L, Qiang X, Anush K, Y P, Giancarlo B, and Oscar B, · 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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“Skeleton-bridged point completion: From global inference to local adjustment,”
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“Unpaired point cloud completion on real scans using adversarial training,”
Xuelin Chen, Baoquan Chen, and Niloy J Mitra, · 2019
Cited alongside, same era.
“Depth completion from sparse lidar data with depth-normal constraints,”
Yan Xu, Xinge Zhu, Jianping Shi, Guofeng Zhang, Hujun Bao, and Hongsheng Li, · 2019
Cited alongside, same era.
“Rl-gan-net: A reinforcement learning agent controlled gan network for real-time point cloud shape completion,”
Muhammad S, Hyunjoo Jenny L, and Young M K, · 2019
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“Pointpillars: Fast encoders for object detection from point clouds,”
Alex H Lang, Sourabh Vora, and etc Caesar, · 2019
Cited alongside, same era.
“Cascaded refinement network for point cloud completion,”
Xiaogang Wang, Marcelo H Ang Jr, and Gim Hee Lee, · 2020
Cited alongside, same era.
Yinyu Nie, Yiqun Lin, Xiaoguang Han, Shihui Guo, Jian Chang, Shuguang Cui, and Jian Jun Zhang, · 2020
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“Input-output balanced framework for long-tailed lidar semantic segmentation,”
Peishan Cong, Xinge Zhu, and Yuexin Ma, · 2021
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“Cylindrical and asymmetrical 3d convolution networks for lidar segmentation,”
Xinge Zhu, Hui Zhou, Tai Wang, Fangzhou Hong, Yuexin Ma, Wei Li, Hongsheng Li, and Dahua Lin, · 2021
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“Unsupervised 3d shape completion through gan inversion,”
Junzhe Zhang, Xinyi Chen, Zhongang Cai, Liang Pan, and etc Zhao, · 2021
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“Cycle4completion: Unpaired point cloud completion using cycle transformation with missing region coding,”
Xin Wen, Zhizhong Han, and etc Cao, · 2021
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“Pointr: Diverse point cloud completion with geometry-aware transformers,”
Xumin Yu, Yongming R, Ziyi W, Zuyan Liu, Jiwen Lu, and Jie Zhou, · 2021
Later among the works it cites.