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Point clouds obtained with 3D scanners or by image-based reconstruction techniques are often corrupted with significant amount of noise and outliers.
Parametric correspondence and chamfer matching: Two new techniques for image matching
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Pincus R · 1995
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Curve and surface smoothing without shrinkage
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Computing and rendering point set surfaces
Alexa M., Behr J., Cohen-Or D., Fleishman S., Levin D., Silva C. T · 2003
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Point cloud denoising
Mederos B., Velho L., de Figueiredo L. H · 2003
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A non-local algorithm for image denoising
Buades A., Coll B., Morel J.-M · 2005
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Outlier detection
Ben-Gal I · 2005
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Estimating differential quantities using polynomial fitting of osculating jets
Cazals F., Pouget M · 2005
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Robust moving least-squares fitting with sharp features
Fleishman S., Cohen-Or D., Silva C. T · 2005
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Image denoising via sparse and redundant representations over learned dictionaries
Elad M., Aharon M · 2006
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Jet_fitting_3: A generic C++ package for estimating the differential properties on sampled surfaces via polynomial fitting
Cazals F., Pouget M · 2007
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Feature preserving point set surfaces based on non-linear kernel regression
Öztireli A. C., Guennebaud G., Gross M · 2009
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l 1 l_{1} -sparse reconstruction of sharp point set surfaces
Avron H., Sharf A., Greif C., Cohen-Or D · 2010
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An introduction to total variation for image analysis
Chambolle A., Caselles V., Cremers D., Novaga M., Pock T · 2010
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Is denoising dead?
Chatterjee P., Milanfar P · 2010
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Point cloud non local denoising using local surface descriptor similarity
Deschaud J.-E., Goulette F · 2010
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From exact to approximate solutions
Elad M · 2010
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Sparse coding for machine learning, image processing and computer vision
Mairal J · 2010
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Non-local scan consolidation for 3d urban scenes
Zheng Q., Sharf A., Wan G., Li Y., Mitra N. J., Cohen-Or D., Chen B · 2010
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Geometric inference for probability measures
Chazal F., Cohen-Steiner D., Mérigot Q · 2011
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Blensor: blender sensor simulation toolbox
Gschwandtner M., Kwitt R., Uhl A., Pree W · 2011
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Point-based graphics
Gross M., Pfister H · 2011
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Natural image denoising: Optimality and inherent bounds
Levin A., Nadler B · 2011
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Robust statistics for outlier detection
Rousseeuw P. J., Hubert M · 2011
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Similarity based filtering of point clouds
Digne J · 2012
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Noise-adaptive shape reconstruction from raw point sets
Giraudot S., Cohen-Steiner D., Alliez P · 2013
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Witnessed k-distance
Guibas L., Morozov D., Mérigot Q · 2013
The bilateral filter for point clouds
Digne J., De Franchis C · 2017
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A point set generation network for 3d object reconstruction from a single image
Fan H., Su H., Guibas L. J · 2017
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A review of algorithms for filtering the 3d point cloud
Han X.-F., Jin J. S., Wang M.-J., Jiang W., Gao L., Xiao L · 2017
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Deep convolutional neural network for inverse problems in imaging
Jin K. H., McCann M. T., Froustey E., Unser M · 2017
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Point cloud denoising via moving rpca
Mattei E., Castrodad A · 2017
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Pointnet: Deep learning on point sets for 3d classification and segmentation
Qi C. R., Su H., Mo K., Guibas L. J · 2017
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Cited alongside, same era.
Edge-aware point set resampling
Huang H., Wu S., Gong M., Cohen-Or D., Ascher U., Zhang H. R · 2013
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Screened poisson surface reconstruction
Kazhdan M., Hoppe H · 2013
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Self-similarity for accurate compression of point sampled surfaces
Digne J., Chaine R., Valette S · 2014
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Outlier analysis
Aggarwal C. C · 2015
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
He K., Zhang X., Ren S., Sun J · 2015
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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Qi C. R., Yi L., Su H., Guibas L. J · 2017
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Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising
Zhang K., Zuo W., Chen Y., Meng D., Zhang L · 2017
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Learning deep cnn denoiser prior for image restoration
Zhang K., Zuo W., Gu S., Zhang L · 2017
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Learning representations and generative models for 3d point clouds
Achlioptas P., Diamanti O., Mitliagkas I., Guibas L · 2018
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Efficient 3d object classification by using direct krawtchouk moment invariants
Benouini R., Batioua I., Zenkouar K., Najah S., Qjidaa H · 2018
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Sparse geometric representation through local shape probing
Digne J., Valette S., Chaine R · 2018
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PCPNet: Learning local shape properties from raw point clouds
Guerrero P., Kleiman Y., Ovsjanikov M., Mitra N. J · 2018
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A survey on data-driven dictionary-based methods for 3d modeling
Lescoat T., Ovsjanikov M., Memari P., Thiery J.-M., Boubekeur T · 2018
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Pointpronets: Consolidation of point clouds with convolutional neural networks
Roveri R., Öztireli A. C., Pandele I., Gross M · 2018
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Dynamic graph cnn for learning on point clouds
Wang Y., Sun Y., Liu Z., Sarma S. E., Bronstein M. M., Solomon J. M · 2018
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P2p-net: Bidirectional point displacement net for shape transform
Yin K., Huang H., Cohen-Or D., Zhang H · 2018
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Pu-net: Point cloud upsampling network
Yu L., Li X., Fu C.-W., Cohen-Or D., Heng P.-A · 2018
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3d point cloud denoising using graph laplacian regularization of a low dimensional manifold model
Zeng J., Cheung G., Ng M., Pang J., Yang C · 2018
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Spatial transformer networks
Jaderberg M., Simonyan K., Zisserman A., et al · 2025
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