Topic · 3D Shape Modeling and Analysis
Most cited papers in 3D Shape Modeling and Analysis
What are the most cited papers in 3D Shape Modeling and Analysis?
The most cited paper in 3D Shape Modeling and Analysis is "Marching cubes: A high resolution 3D surface construction algorithm" (William E. Lorensen, H. E. Cline, 1987), with 10,249 citations. Next come "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" (9,954) and "3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation" (7,911).
Showing 50 of 97 papers. Every paper with more than 1,008 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Marching cubes: A high resolution 3D surface construction algorithm William E. Lorensen, H. E. Cline | Aug 1987 | 10,249 |
| 2 | PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation Raffaelli Charles, Hao Su, Kaichun Mo et al. | Jul 2017 | 9,954 |
| 3 | 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation Özgün Çiçek, Ahmed Abdulkadir, Soeren S. Lienkamp et al. · Lecture notes in computer science | 2016 | 7,911 |
| 4 | Extracting and composing robust features with denoising autoencoders Pascal Vincent, Hugo Larochelle, Yoshua Bengio et al. | 2008 | 7,452 |
| 5 | Dynamic Graph CNN for Learning on Point Clouds Yue Wang, Yongbin Sun, Ziwei Liu et al. · ACM Transactions on Graphics | 10 Oct 2019 | 7,071 |
| 6 | NeRF Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik et al. · Communications of the ACM | 17 Dec 2021 | 6,590 |
| 7 | NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik et al. · Lecture notes in computer science | 2020 | 5,159 |
| 8 | 3D ShapeNets: A deep representation for volumetric shapes Zhirong Wu, Shuran Song, Aditya Khosla et al. | Jun 2015 | 4,793 |
| 9 | Instant neural graphics primitives with a multiresolution hash encoding Thomas J. Muller, Alex Evans, Christoph Schied et al. · ACM Transactions on Graphics | Jul 2022 | 4,064 |
| 10 | Fast Point Feature Histograms (FPFH) for 3D registration Radu Bogdan Rusu, Nico Blodow, Michael Beetz | May 2009 | 3,961 |
| 11 | SMPL Matthew Loper, Naureen Mahmood, Javier Romero et al. · ACM Transactions on Graphics | 26 Oct 2015 | 3,807 |
| 12 | Geometric Deep Learning: Going beyond Euclidean data Michael M. Bronstein, Joan Bruna, Yann LeCun et al. · IEEE Signal Processing Magazine | Jul 2017 | 3,748 |
| 13 | Surface simplification using quadric error metrics Michael J. Garland, Paul S. Heckbert | 1997 | 3,436 |
| 14 | Region Filling and Object Removal by Exemplar-Based Image Inpainting Antonio Criminisi, Patrick Pérez, Kentaro Toyama · IEEE Transactions on Image Processing | 16 Aug 2004 | 3,287 |
| 15 | A volumetric method for building complex models from range images Brian Curless, Marc Levoy | Aug 1996 | 3,171 |
| 16 | Shape modeling with front propagation: a level set approach R. Malladi, James A. Sethian, Baba C. Vemuri · IEEE Transactions on Pattern Analysis and Machine Intelligence | 1995 | 3,163 |
| 17 | PointRCNN: 3D Object Proposal Generation and Detection From Point Cloud Shaoshuai Shi, Xiaogang Wang, Hongsheng Li | Jun 2019 | 3,070 |
| 18 | Illumination for computer generated pictures Bui Tuong Phong · Communications of the ACM | Jun 1975 | 3,014 |
| 19 | Progressive meshes Hugues Hoppe | Aug 1996 | 2,828 |
| 20 | Surface reconstruction from unorganized points Hugues Hoppe, Tony DeRose, Tom Duchamp et al. | Jul 1992 | 2,762 |
| 21 | Using spin images for efficient object recognition in cluttered 3D scenes Andrew Johnson, Martial Hebert · IEEE Transactions on Pattern Analysis and Machine Intelligence | May 1999 | 2,653 |
| 22 | A Point Set Generation Network for 3D Object Reconstruction from a Single Image Haoqiang Fan, Hao Su, Leonidas Guibas | Jul 2017 | 2,530 |
| 23 | Presentation and validation of the Radboud Faces Database Oliver Langner, Ron Dotsch, Gijsbert Bijlstra et al. · Cognition & Emotion | 8 Apr 2010 | 2,514 |
| 24 | Three-dimensional alpha shapes Herbert Edelsbrunner, Ernst P. Mücke · ACM Transactions on Graphics | 1994 | 2,504 |
| 25 | Image matching as a diffusion process: an analogy with Maxwell's demons J.-P. Thirion · Medical Image Analysis | Sep 1998 | 2,471 |
| 26 | Display of surfaces from volume data Marc Levoy · IEEE Computer Graphics and Applications | May 1988 | 2,457 |
| 27 | Point Transformer Hengshuang Zhao, Li Jiang, Jiaya Jia et al. · 2021 IEEE/CVF International Conference on Computer Vision (ICCV) | Oct 2021 | 2,417 |
| 28 | Deep Learning for 3D Point Clouds: A Survey Yulan Guo, Hanyun Wang, Qingyong Hu et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 29 Jun 2020 | 2,375 |
| 29 | Screened poisson surface reconstruction Michael Kazhdan, Hugues Hoppe · ACM Transactions on Graphics | Jun 2013 | 2,306 |
| 30 | Topology matching for fully automatic similarity estimation of 3D shapes Masaki Hilaga, Yoshihisa Shinagawa, Taku Kohmura et al. | Aug 2001 | 2,211 |
| 31 | Random Heterogeneous Materials: Microstructure and Macroscopic Properties Salvatore Torquato, HW Haslach | 19 Oct 2001 | 2,187 |
| 32 | Poisson Surface Reconstruction Michael Kazhdan, Matthew Bolitho, Hugues Hoppe | 2006 | 2,173 |
| 33 | PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection Shaoshuai Shi, Chaoxu Guo, Li Jiang et al. | Jun 2020 | 2,170 |
| 34 | PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space Charles R. Qi, Li Yi, Hao Su et al. · arXiv (Cornell University) | 7 Jun 2017 | 2,145 |
| 35 | RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds Qingyong Hu, Bo Yang, Linhai Xie et al. | Jun 2020 | 2,132 |
| 36 | End-to-End Recovery of Human Shape and Pose Angjoo Kanazawa, Michael J. Black, David W. C. Jacobs et al. | Jun 2018 | 1,964 |
| 37 | PointConv: Deep Convolutional Networks on 3D Point Clouds Wenxuan Wu, Zhongang Qi, Fuxin Li | Jun 2019 | 1,954 |
| 38 | Discrete Differential-Geometry Operators for Triangulated 2-Manifolds Mark Meyer, Mathieu Desbrun, Peter Schröder et al. · Mathematics and visualization | 2003 | 1,906 |
| 39 | Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields Jonathan T. Barron, Ben Mildenhall, Dor Verbin et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Jun 2022 | 1,896 |
| 40 | PCT: Point cloud transformer Meng-Hao Guo, Jun-Xiong Cai, Zheng-Ning Liu et al. · Computational Visual Media | 9 Apr 2021 | 1,894 |
| 41 | Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs Federico Monti, Davide Boscaini, Jonathan Masci et al. | Jul 2017 | 1,877 |
| 42 | A signal processing approach to fair surface design Gabriel Taubin | 1995 | 1,870 |
| 43 | The CMU pose, illumination, and expression database Terence Sim, Simon J Baker, M. Bsat · IEEE Transactions on Pattern Analysis and Machine Intelligence | Dec 2003 | 1,796 |
| 44 | Animating rotation with quaternion curves Ken Shoemake · ACM SIGGRAPH Computer Graphics | Jul 1985 | 1,738 |
| 45 | Calibrated geometries Reese Harvey, H. Blaine Lawson · Acta Mathematica | 1982 | 1,721 |
| 46 | OctNet: Learning Deep 3D Representations at High Resolutions Gernot Riegler, Ali Osman Ulusoy, Andreas Geiger | Jul 2017 | 1,717 |
| 47 | Shape-from-shading: a survey Ruo Zhang, Ping-Sing Tsai, J.E. Cryer et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence | 1999 | 1,714 |
| 48 | Large steps in cloth simulation David Baraff, Andrew Witkin | 1998 | 1,700 |
| 49 | Elastically deformable models Demetri Terzopoulos, John C. Platt, Alan H. Barr et al. | Aug 1987 | 1,698 |
| 50 | Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image Federica Bogo, Angjoo Kanazawa, Christoph Lassner et al. · Lecture notes in computer science | 2016 | 1,636 |
Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for a field when OpenAlex files it under one of the field's topics; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.