Most cited papers in Computer Graphics and Visualization Techniques
What are the most cited papers in Computer Graphics and Visualization Techniques?
The most cited paper in Computer Graphics and Visualization Techniques is "Snakes: Active contour models" (Michael Kass, Andrew Witkin, Demetri Terzopoulos, 1988), with 17,142 citations. Next come "High-Resolution Image Synthesis with Latent Diffusion Models" (15,702) and "The VideoToolbox software for visual psychophysics: transforming numbers into movies" (11,776).
Showing 50 of 97 papers. Every paper with more than 1,255 citations is listed.
| # | Paper | ||
|---|---|---|---|
| 1 | Snakes: Active contour models Michael Kass, Andrew Witkin, Demetri Terzopoulos · International Journal of Computer Vision | 1988 | 17,142 |
| 2 | High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach, Andreas Blattmann, Dominik Lorenz et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Jun 2022 | 15,702 |
| 3 | The VideoToolbox software for visual psychophysics: transforming numbers into movies Denis G. Pelli · Spatial Vision | 1997 | 11,776 |
| 4 | Marching cubes: A high resolution 3D surface construction algorithm William E. Lorensen, H. E. Cline | Aug 1987 | 10,249 |
| 5 | Gmsh: A 3‐D finite element mesh generator with built‐in pre‐ and post‐processing facilities Christophe Geuzaine, Jean‐François Remacle · International Journal for Numerical Methods in Engineering | 7 May 2009 | 7,914 |
| 6 | NeRF Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik et al. · Communications of the ACM | 17 Dec 2021 | 6,590 |
| 7 | Cortical Surface-Based Analysis Bruce R. Fischl, Martin I. Sereno, Anders Martin Dale · NeuroImage | Feb 1999 | 6,470 |
| 8 | Image Style Transfer Using Convolutional Neural Networks Leon A. Gatys, Alexander S. Ecker, Matthias Bethge | Jun 2016 | 6,164 |
| 9 | Watersheds in digital spaces: an efficient algorithm based on immersion simulations Luc M. Vincent, Pierre Soille · IEEE Transactions on Pattern Analysis and Machine Intelligence | Jun 1991 | 5,678 |
| 10 | 3D Gaussian Splatting for Real-Time Radiance Field Rendering Bernhard Kerbl, Georgios Kopanas, Thomas Leimkühler et al. · ACM Transactions on Graphics | 26 Jul 2023 | 5,593 |
| 11 | 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 |
| 12 | A Level Set Approach for Computing Solutions to Incompressible Two-Phase Flow Mark Sussman, Peter Smereka, Stanley Osher · Journal of Computational Physics | Sep 1994 | 4,839 |
| 13 | Free software helps map and display data Paul Wessel, Walter H. F. Smith · Eos | 8 Oct 1991 | 4,159 |
| 14 | 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 |
| 15 | SMPL Matthew Loper, Naureen Mahmood, Javier Romero et al. · ACM Transactions on Graphics | 26 Oct 2015 | 3,807 |
| 16 | Light field rendering Marc Levoy, Pat Hanrahan | Aug 1996 | 3,785 |
| 17 | Image inpainting Marcelo Bertalmı́o, Guillermo Sapiro, V. Caselles et al. | 2000 | 3,634 |
| 18 | Surface simplification using quadric error metrics Michael J. Garland, Paul S. Heckbert | 1997 | 3,436 |
| 19 | Affine Invariant Flows in the Beltrami Framework Nir Sochen · Journal of Mathematical Imaging and Vision | 2004 | 3,309 |
| 20 | 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 |
| 21 | A fast marching level set method for monotonically advancing fronts. James A. Sethian · Proceedings of the National Academy of Sciences | 20 Feb 1996 | 3,254 |
| 22 | A volumetric method for building complex models from range images Brian Curless, Marc Levoy | Aug 1996 | 3,171 |
| 23 | 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 |
| 24 | Accurate, Dense, and Robust Multiview Stereopsis Yasutaka Furukawa, Jean Ponce · IEEE Transactions on Pattern Analysis and Machine Intelligence | Sep 2009 | 3,089 |
| 25 | Illumination for computer generated pictures Bui Tuong Phong · Communications of the ACM | Jun 1975 | 3,014 |
| 26 | The design and use of steerable filters William T. Freeman, Edward H. Adelson · IEEE Transactions on Pattern Analysis and Machine Intelligence | 1991 | 2,951 |
| 27 | Semantic Image Synthesis With Spatially-Adaptive Normalization Taesung Park, Ming-Yu Liu, Ting-Chun Wang et al. | Jun 2019 | 2,926 |
| 28 | OctoMap: an efficient probabilistic 3D mapping framework based on octrees Armin Hornung, Kai M. Wurm, Maren Bennewitz et al. · Autonomous Robots | 6 Feb 2013 | 2,907 |
| 29 | Progressive meshes Hugues Hoppe | Aug 1996 | 2,828 |
| 30 | Surface reconstruction from unorganized points Hugues Hoppe, Tony DeRose, Tom Duchamp et al. | Jul 1992 | 2,762 |
| 31 | High Accuracy Optical Flow Estimation Based on a Theory for Warping Thomas Brox, Andrés Bruhn, Nils Papenberg et al. · Lecture notes in computer science | 2004 | 2,614 |
| 32 | Generative Image Inpainting with Contextual Attention Jiahui Yu, Zhe Lin, Jimei Yang et al. | Jun 2018 | 2,537 |
| 33 | The lumigraph Steven J. Gortler, Radek Grzeszczuk, Richard Szeliski et al. | Aug 1996 | 2,484 |
| 34 | Image matching as a diffusion process: an analogy with Maxwell's demons J.-P. Thirion · Medical Image Analysis | Sep 1998 | 2,471 |
| 35 | Display of surfaces from volume data Marc Levoy · IEEE Computer Graphics and Applications | May 1988 | 2,457 |
| 36 | Recovering high dynamic range radiance maps from photographs Paul E. Debevec, Jitendra Malik | 11 Aug 2008 | 2,432 |
| 37 | Image quilting for texture synthesis and transfer Alexei A. Efros, William T. Freeman | Aug 2001 | 2,416 |
| 38 | Screened poisson surface reconstruction Michael Kazhdan, Hugues Hoppe · ACM Transactions on Graphics | Jun 2013 | 2,306 |
| 39 | ParaView: An End-User Tool for Large-Data Visualization James Paul Ahrens, Berk Geveci, CHARLES LAW · Elsevier eBooks | 2005 | 2,265 |
| 40 | The rendering equation James T. Kajiya · ACM SIGGRAPH Computer Graphics | 31 Aug 1986 | 2,258 |
| 41 | DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation Nataniel Ruiz, Yuanzhen Li, Varun Jampani et al. | Jun 2023 | 2,176 |
| 42 | Poisson Surface Reconstruction Michael Kazhdan, Matthew Bolitho, Hugues Hoppe | 2006 | 2,173 |
| 43 | A New Method of Interpolation and Smooth Curve Fitting Based on Local Procedures Hiroshi Akima · Journal of the ACM | Oct 1970 | 2,093 |
| 44 | An image synthesizer Ken Perlin · ACM SIGGRAPH Computer Graphics | Jul 1985 | 2,079 |
| 45 | Poisson image editing Patrick Pérez, Michel Gangnet, Andrew Blake | Jul 2003 | 2,076 |
| 46 | A Survey of General‐Purpose Computation on Graphics Hardware John D. Owens, David P. Luebke, Naga K. Govindaraju et al. · Computer Graphics Forum | Mar 2007 | 2,034 |
| 47 | Recursively generated B-spline surfaces on arbitrary topological meshes Edwin E. Catmull, J. Clark · Computer-Aided Design | Nov 1978 | 2,027 |
| 48 | MeshLab: an Open-Source Mesh Processing Tool Paolo Cignoni, Marco Callieri, Massimiliano Corsini et al. · ISTI Open Portal | 2008 | 1,980 |
| 49 | PointConv: Deep Convolutional Networks on 3D Point Clouds Wenxuan Wu, Zhongang Qi, Fuxin Li | Jun 2019 | 1,954 |
| 50 | Computer graphics and graphical user interfaces as tools in simulations of matter at the atomic scale Anton Kokalj · Computational Materials Science | 16 Sep 2003 | 1,922 |
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.