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We propose Point2Cyl, a supervised network transforming a raw 3D point cloud to a set of extrusion cylinders.
Mean shift, mode seeking, and clustering
Yizong Cheng · 1995
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Reverse engineering of geometric models—an introduction
Tamás Várady, Ralph R Martin, and Jordan Cox · 1997
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Constrained fitting in reverse engineering
Pál Benkö, Géza Kós, Tamás Várady, László Andor, and Ralph Robert Martin · 2002
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Segmentation methods for smooth point regions of conventional engineering objects
Pal Benko and Tamas Varady · 2004
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Estimating differential quantities using polynomial fitting of osculating jets
Frédéric Cazals and Marc Pouget · 2005
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Solidworks®
Dassault Systèmes SolidWorks · 2005
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Ransac for (quasi-) degenerate data (qdegsac)
J-M Frahm and Marc Pollefeys · 2006
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Efficient ransac for point-cloud shape detection
Ruwen Schnabel, Roland Wahl, and Reinhard Klein · 2007
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Model globally, match locally: Efficient and robust 3d object recognition
Bertram Drost, Markus Ulrich, Nassir Navab, and Slobodan Ilic · 2010
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The 3d hough transform for plane detection in point clouds: A review and a new accumulator design
Dorit Borrmann, Jan Elseberg, Kai Lingemann, and Andreas Nüchter · 2011
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Globfit: Consistently fitting primitives by discovering global relations
Yangyan Li, Xiaokun Wu, Yiorgos Chrysathou, Andrei Sharf, Daniel Cohen-Or, and Niloy J Mitra · 2011
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A comprehensive process of reverse engineering from 3d meshes to cad models
Roseline Bénière, Gérard Subsol, Gilles Gesquière, François Le Breton, and William Puech · 2013
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Geometric data abstraction using b-splines for range image segmentation
Thomas Mörwald, Andreas Richtsfeld, Johann Prankl, Michael Zillich, and Markus Vincze · 2013
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Type-constrained direct fitting of quadric surfaces
James Andrews and Carlo H Séquin · 2014
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Latent-class hough forests for 3d object detection and pose estimation
Alykhan Tejani, Danhang Tang, Rigas Kouskouridas, and Tae-Kyun Kim · 2014
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Point pair features based object detection and pose estimation revisited
Tolga Birdal and Slobodan Ilic · 2015
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Local hough transform for 3d primitive detection
Bertram Drost and Slobodan Ilic · 2015
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Rapter: rebuilding man-made scenes with regular arrangements of planes
Aron Monszpart, Nicolas Mellado, Gabriel J Brostow, and Niloy J Mitra · 2015
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Extraction of reliable primitives from unorganized point clouds
Trung-Thien Tran, Van-Toan Cao, and Denis Laurendeau · 2015
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Planar shape detection and regularization in tandem
Sven Oesau, Florent Lafarge, and Pierre Alliez · 2016
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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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Pointnet++: Deep hierarchical feature learning on point sets in a metric space
Charles R Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017
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A minimalist approach to type-agnostic detection of quadrics in point clouds
Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, and Peter Sturm · 2018
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Reverse engineering modeling methods and tools: a survey
Francesco Buonamici, Monica Carfagni, Rocco Furferi, Lapo Governi, Alessandro Lapini, and Yary Volpe · 2018
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SketchGraphs: A large-scale dataset for modeling relational geometry in computer-aided design
Ari Seff, Yaniv Ovadia, Wenda Zhou, and Ryan P. Adams · 2020
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Parsenet: A parametric surface fitting network for 3d point clouds
Gopal Sharma, Difan Liu, Evangelos Kalogerakis, Subhransu Maji, Siddhartha Chaudhuri, and Radomír Měch · 2020
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Parsenet: A parametric surface fitting network for 3d point clouds, 2020
Gopal Sharma, Difan Liu, Subhransu Maji, Evangelos Kalogerakis, Siddhartha Chaudhuri, and Radomír Měch · 2020
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Primitect: Fast continuous hough voting for primitive detection
Christiane Sommer, Yumin Sun, Erik Bylow, and Daniel Cremers · 2020
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From planes to corners: Multi-purpose primitive detection in unorganized 3d point clouds
Christiane Sommer, Yumin Sun, Leonidas Guibas, Daniel Cremers, and Tolga Birdal · 2020
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6d dbscan-based segmentation of building point clouds for planar object classification
T Czerniawski, B Sankaran, M Nahangi, C Haas, and F Leite · 2018
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Planar shape detection at structural scales
Hao Fang, Florent Lafarge, and Mathieu Desbrun · 2018
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Csgnet: Neural shape parser for constructive solid geometry
Gopal Sharma, Rishabh Goyal, Difan Liu, Evangelos Kalogerakis, and Subhransu Maji · 2018
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Generic primitive detection in point clouds using novel minimal quadric fits
Tolga Birdal, Benjamin Busam, Nassir Navab, Slobodan Ilic, and Peter Sturm · 2019
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Abc: A big cad model dataset for geometric deep learning
Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, and Daniele Panozzo · 2019
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Supervised fitting of geometric primitives to 3d point clouds
Lingxiao Li, Minhyuk Sung, Anastasia Dubrovina, Li Yi, and Leonidas Guibas · 2019
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Superquadrics revisited: Learning 3d shape parsing beyond cuboids
Despoina Paschalidou, Ali Osman Ulusoy, and Andreas Geiger · 2019
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Deformation-aware 3d model embedding and retrieval
Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal, and Leonidas Guibas · 2020
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Pie-net: Parametric inference of point cloud edges, 2020
Xiaogang Wang, Yuelang Xu, Kai Xu, Andrea Tagliasacchi, Bin Zhou, Ali Mahdavi-Amiri, and Hao Zhang · 2020
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Fusion 360 gallery: A dataset and environment for programmatic cad reconstruction
Karl D. D. Willis, Yewen Pu, Jieliang Luo, Hang Chu, Tao Du, Joseph G. Lambourne, Armando Solar-Lezama, and Wojciech Matusik · 2020
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Fusion 360: 3d cad, cam, cae & pcb cloud-based software, Aug 2021
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Computer-aided design as language
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