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Point cloud obtained from 3D scanning is often sparse, noisy, and irregular.
Geometric structures for three-dimensional shape representation
Jean-Daniel Boissonnat · 1984
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Marching cubes: A high resolution 3d surface construction algorithm
William E Lorensen and Harvey E Cline · 1987
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Surface reconstruction from unorganized points
Hugues Hoppe, Tony DeRose, Tom Duchamp, John McDonald, and Werner Stuetzle · 1992
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Three-dimensional alpha shapes
Herbert Edelsbrunner and Ernst P Mücke · 1994
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A volumetric method for building complex models from range images
Brian Curless and Marc Levoy · 1996
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The ball-pivoting algorithm for surface reconstruction
Fausto Bernardini, Joshua Mittleman, Holly Rushmeier, Claudio Silva, and Gabriel Taubin · 1999
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Curve reconstruction from unorganized points
In-Kwon Lee · 2000
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Dual contouring of hermite data
Tao Ju, Frank Losasso, Scott Schaefer, and Joe Warren · 2002
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Computing and rendering point set surfaces
Marc Alexa, Johannes Behr, Daniel Cohen-Or, Shachar Fleishman, David Levin, and Claudio T. Silva · 2003
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Spectral surface reconstruction from noisy point clouds
Ravikrishna Kolluri, Jonathan Richard Shewchuk, and James F O’Brien · 2004
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Poisson surface reconstruction
Michael Kazhdan, Matthew Bolitho, and Hugues Hoppe · 2006
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l1-sparse reconstruction of sharp point set surfaces
Haim Avron, Andrei Sharf, Chen Greif, and Daniel Cohen-Or · 2010
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Edge-aware point set resampling
Hui Huang, Shihao Wu, Minglun Gong, Daniel Cohen-Or, Uri Ascher, and Hao Zhang · 2013
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A benchmark for rgb-d visual odometry, 3d reconstruction and slam
Ankur Handa, Thomas Whelan, John McDonald, and Andrew J Davison · 2014
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Large scale multi-view stereopsis evaluation
Rasmus Jensen, Anders Dahl, George Vogiatzis, Engin Tola, and Henrik Aanæs · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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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, et al · 2015
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Sample elimination for generating poisson disk sample sets
Cem Yuksel · 2015
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Large-scale data for multiple-view stereopsis
Henrik Aanæs, Rasmus Ramsbøl Jensen, George Vogiatzis, Engin Tola, and Anders Bjorholm Dahl · 2016
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Stacked hourglass networks for human pose estimation
Alejandro Newell, Kaiyu Yang, and Jia Deng · 2016
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A scalable active framework for region annotation in 3d shape collections
Li Yi, Vladimir G Kim, Duygu Ceylan, I-Chao Shen, Mengyan Yan, Hao Su, Cewu Lu, Qixing Huang, Alla Sheffer, and Leonidas Guibas · 2016
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A survey of surface reconstruction from point clouds
Matthew Berger, Andrea Tagliasacchi, Lee M Seversky, Pierre Alliez, Gael Guennebaud, Joshua A Levine, Andrei Sharf, and Claudio T Silva · 2017
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Scannet: Richly-annotated 3d reconstructions of indoor scenes
Angela Dai, Angel X Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, and Matthias Nießner · 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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Submanifold sparse convolutional networks
Benjamin Graham and Laurens van der Maaten · 2017
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Tanks and temples: Benchmarking large-scale scene reconstruction
Arno Knapitsch, Jaesik Park, Qian-Yi Zhou, and Vladlen Koltun · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Pyramid stereo matching network
Jia-Ren Chang and Yong-Sheng Chen · 2018
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Frustum pointnets for 3d object detection from rgb-d data
Charles R Qi, Wei Liu, Chenxia Wu, Hao Su, and Leonidas J Guibas · 2018
Deep learning for 3d point clouds: A survey
Yulan Guo, Hanyun Wang, Qingyong Hu, Hao Liu, Li Liu, and Mohammed Bennamoun · 2020
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Generative sparse detection networks for 3d single-shot object detection
JunYoung Gwak, Christopher Choy, and Silvio Savarese · 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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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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Neural sparse voxel fields
Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, and Christian Theobalt · 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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Cited alongside, same era.
Pointpronets: Consolidation of point clouds with convolutional neural networks
Riccardo Roveri, A Cengiz Öztireli, Ioana Pandele, and Markus Gross · 2018
Cited alongside, same era.
Pixor: Real-time 3d object detection from point clouds
Bin Yang, Wenjie Luo, and Raquel Urtasun · 2018
Cited alongside, same era.
Mvsnet: Depth inference for unstructured multi-view stereo
Yao Yao, Zixin Luo, Shiwei Li, Tian Fang, and Long Quan · 2018
Cited alongside, same era.
Pcn: Point completion network
Wentao Yuan, Tejas Khot, David Held, Christoph Mertz, and Martial Hebert · 2018
Cited alongside, same era.
Open3d: A modern library for 3d data processing
Qian-Yi Zhou, Jaesik Park, and Vladlen Koltun · 2018
Cited alongside, same era.
4d spatio-temporal convnets: Minkowski convolutional neural networks
Christopher Choy, JunYoung Gwak, and Silvio Savarese · 2019
Cited alongside, same era.
Later among the works it cites.
Learning graph-convolutional representations for point cloud denoising
Francesca Pistilli, Giulia Fracastoro, Diego Valsesia, and Enrico Magli · 2020
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Pointcleannet: Learning to denoise and remove outliers from dense point clouds
Marie-Julie Rakotosaona, Vittorio La Barbera, Paul Guerrero, Niloy J Mitra, and Maks Ovsjanikov · 2020
Later among the works it cites.
Pointtrinet: Learned triangulation of 3d point sets
Nicholas Sharp and Maks Ovsjanikov · 2020
Later among the works it cites.
Pv-rcnn: Point-voxel feature set abstraction for 3d object detection
Shaoshuai Shi, Chaoxu Guo, Li Jiang, Zhe Wang, Jianping Shi, Xiaogang Wang, and Hongsheng Li · 2020
Later among the works it cites.
Detail preserved point cloud completion via separated feature aggregation
Wenxiao Zhang, Qingan Yan, and Chunxia Xiao · 2020
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Volumetric propagation network: Stereo-lidar fusion for long-range depth estimation
Jaesung Choe, Kyungdon Joo, Tooba Imtiaz, and In So Kweon · 2021
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Stereo object matching network
Jaesung Choe, Kyungdon Joo, Francois Rameau, and In So Kweon · 2021
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Ffb6d: A full flow bidirectional fusion network for 6d pose estimation
Yisheng He, Haibin Huang, Haoqiang Fan, Qifeng Chen, and Jian Sun · 2021
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Point cloud upsampling via disentangled refinement
Ruihui Li, Xianzhi Li, Pheng-Ann Heng, and Chi-Wing Fu · 2021
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Score-based point cloud denoising
Shitong Luo and Wei Hu · 2021
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Pu-transformer: Point cloud upsampling transformer
Shi Qiu, Saeed Anwar, and Nick Barnes · 2021
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Learning delaunay surface elements for mesh reconstruction
Marie-Julie Rakotosaona, Paul Guerrero, Noam Aigerman, Niloy J Mitra, and Maks Ovsjanikov · 2021
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Learning positional embeddings for coordinate-mlps
Sameera Ramasinghe and Simon Lucey · 2021
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Pmp-net: Point cloud completion by learning multi-step point moving paths
Xin Wen, Peng Xiang, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, and Yu-Shen Liu · 2021
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Snowflakenet: Point cloud completion by snowflake point deconvolution with skip-transformer
Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, and Zhizhong Han · 2021
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Point transformer
Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip Torr, and Vladlen Koltun · 2021
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