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This paper presents an end-to-end differentiable algorithm for robust and detail-preserving surface normal estimation on unstructured point-clouds.
Robust regression using iteratively reweighted least-squares
Paul W. Holland and Roy E. Welsch · 1977
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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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Surface reconstruction by voronoi filtering
Nina Amenta and Marshall Bern · 1998
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The approximation power of moving least-squares
David Levin · 1998
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Estimating surface normals in noisy point cloud data
N. J. Mitra, A. Nguyen, and L. Guibas · 2004
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Voronoi-based variational reconstruction of unoriented point sets
P. Alliez, D. Cohen-Steiner, Y. Tong, and M. Desbrun · 2007
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Gaël Guennebaud and Markus Gross · 2007
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Collected matrix derivative results for forward and reverse mode algorithmic differentiation
Mike B. Giles · 2008
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Comparison of surface normal estimation methods for range sensing applications
K. Klasing, D. Althoff, D. Wollherr, and M. Buss · 2009
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Signing the unsigned: Robust surface reconstruction from raw pointsets
Patrick Mullen, Fernando de Goes, Mathieu Desbrun, David Cohen-Steiner, and Pierre Alliez · 2010
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Voronoi-based curvature and feature estimation from point clouds
Quentin Merigot, Maks Ovsjanikov, and Leonidas J. Guibas · 2011
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Fast and Robust Normal Estimation for Point Clouds with Sharp Features
Alexandre Boulch and Renaud Marlet · 2012
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Indoor segmentation and support inference from rgbd images
Pushmeet Kohli Nathan Silberman, Derek Hoiem and Rob Fergus · 2012
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David F. Fouhey, Abhinav Gupta, and Martial Hebert · 2013
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Edge-aware point set resampling
Hui Huang, Shihao Wu, Minglun Gong, Daniel Cohen-Or, Uri Ascher, and Hao (Richard) Zhang · 2013
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Discriminatively trained dense surface normal estimation
Lubor Ladicky, Bernhard Zeisl, and Marc Pollefeys · 2014
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Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture
David Eigen and Rob Fergus · 2015
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Spatial transformer networks
Max Jaderberg, Karen Simonyan, Andrew Zisserman, and Koray Kavukcuoglu · 2015
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Depth and surface normal estimation from monocular images using regression on deep features and hierarchical crfs
Bo Li, Chunhua Shen, Yuchao Dai, A. van den Hengel, and Mingyi He · 2015
Geometric deep learning on graphs and manifolds using mixture model cnns
Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodolà, Jan Svoboda, and Michael M. Bronstein · 2017
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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
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Nesti-net: Normal estimation for unstructured 3d point clouds using convolutional neural networks
Yizhak Ben-Shabat, Michael Lindenbaum, and Anath Fischer · 2018
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Ppf-foldnet: Unsupervised learning of rotation invariant 3d local descriptors
Haowen Deng, Tolga Birdal, and Slobodan Ilic · 2018
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Ppfnet: Global context aware local features for robust 3d point matching
Haowen Deng, Tolga Birdal, and Slobodan Ilic · 2018
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Designing deep networks for surface normal estimation
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Deep Learning for Robust Normal Estimation in Unstructured Point Clouds
Alexandre Boulch and Renaud Marlet · 2016
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Pcpnet learning local shape properties from raw point clouds
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Geonet: Geometric neural network for joint depth and surface normal estimation
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Deep fundamental matrix estimation
Rene Ranftl and Vladlen Koltun · 2018
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Discovery of latent 3d keypoints via end-to-end geometric reasoning
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Fast graph representation learning with PyTorch Geometric
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