World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
79
Citations
57392
World Ranking
1111
National Ranking
592

Research.com Recognitions

  • 2007 - ACM Fellow For contributions to computer graphics.

Overview

Marc Levoy is affiliated with Google in the United States and has contributed extensively to fields related to computer science, earth and planetary sciences, and engineering. Their research spans a variety of topics within these domains, emphasizing computer vision, computer graphics, and imaging technologies.

Their main fields of study include:

  • Computer Science
  • Earth and Planetary Sciences
  • Engineering

Within these broad fields, their work focuses on several subfields, notably:

  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design
  • Geology
  • Computational Mechanics
  • Radiology, Nuclear Medicine and Imaging

Marc Levoy's research highlights several main topics:

  • Computer Graphics and Visualization Techniques
  • Advanced Vision and Imaging
  • 3D Surveying and Cultural Heritage
  • Advanced Image and Video Retrieval Techniques
  • 3D Shape Modeling and Analysis
  • Optical Imaging and Spectroscopy Techniques
  • Image Enhancement Techniques

The scientist has authored multiple papers, with notable recent publications including:

  • "Display of surfaces from volume data", 2021, published in UNC Libraries
  • "Removing Reflections from RAW Photos", 2024, published in arXiv (Cornell University)

Collaborations with other researchers form a significant part of their work. Frequent co-authors include:

  • Pat Hanrahan
  • Brian Curless
  • Kari Pulli
  • Szymon Rusinkiewicz
  • David Koller

The venues where the scientist has published include UNC Libraries and arXiv (Cornell University).

Marc Levoy received the ACM Fellow award in 2007 for contributions to computer graphics.

Best Publications

  • Light field rendering

    Marc Levoy;Pat Hanrahan

  • Efficient variants of the ICP algorithm

    S. Rusinkiewicz;M. Levoy

  • Display of surfaces from volume data

    M. Levoy

  • A volumetric method for building complex models from range images

    Brian Curless;Marc Levoy

  • Light field photography with a hand-held plenoptic camera

    Ren Ng;Marc Levoy;Mathieu Br;Gene Duval

  • The digital Michelangelo project: 3D scanning of large statues

    Marc Levoy;Kari Pulli;Brian Curless;Szymon Rusinkiewicz

  • Fast texture synthesis using tree-structured vector quantization

    Li-Yi Wei;Marc Levoy

  • Zippered polygon meshes from range images

    Greg Turk;Marc Levoy

  • Fast volume rendering using a shear-warp factorization of the viewing transformation

    Philippe Lacroute;Marc Levoy

  • Efficient ray tracing of volume data

    Marc Levoy

  • QSplat: a multiresolution point rendering system for large meshes

    Szymon Rusinkiewicz;Marc Levoy

  • High performance imaging using large camera arrays

    Bennett Wilburn;Neel Joshi;Vaibhav Vaish;Eino-Ville Talvala

  • A practical model for subsurface light transport

    Henrik Wann Jensen;Stephen R. Marschner;Marc Levoy;Pat Hanrahan

  • Light field microscopy

    Marc Levoy;Ren Ng;Andrew Adams;Matthew Footer

  • Real-time 3D model acquisition

    Szymon Rusinkiewicz;Olaf Hall-Holt;Marc Levoy

  • Fitting smooth surfaces to dense polygon meshes

    Venkat Krishnamurthy;Marc Levoy

  • The Use of Points as a Display Primitive

    Marc Levoy;Turner Whitted

  • Filling holes in complex surfaces using volumetric diffusion

    J. Davis;S.R. Marschner;M. Garr;M. Levoy

  • Light Fields and Computational Imaging

    M. Levoy

  • Wave optics theory and 3-D deconvolution for the light field microscope

    Michael Broxton;Logan Grosenick;Samuel Yang;Noy Cohen

Frequent Co-Authors

Mark Horowitz
Mark Horowitz Stanford University
Szymon Rusinkiewicz
Szymon Rusinkiewicz Princeton University
Neel Joshi
Neel Joshi Microsoft (United States)
Hendrik P. A. Lensch
Hendrik P. A. Lensch University of Tübingen
Brian Curless
Brian Curless University of Washington
Karl Deisseroth
Karl Deisseroth Stanford University
Henry Fuchs
Henry Fuchs University of North Carolina at Chapel Hill
Pat Hanrahan
Pat Hanrahan Stanford University
Stephen M. Pizer
Stephen M. Pizer University of North Carolina at Chapel Hill

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring alternative online degrees can open up new career opportunities for those interested in or adjacent to Computer Science. For example, professionals seeking advanced analytical roles may consider pursuing an online masters in data science. This qualification is highly valued across industries relying on data for decision-making.

Those interested in management and leadership roles might benefit from the cheapest online mba options available today. An MBA can offer the business acumen necessary for career growth, especially in tech-driven organizations.

If you are looking to fast-track your education, programs such as the fastest online construction management degree and other one year graduate programs can help accelerate your transition into specialized fields.

Whether your goal is technical expertise or leadership, exploring these flexible, online educational pathways can enhance your skill set and boost your career in today’s digital workforce.

Best Scientists Citing Marc Levoy

Trending Scientists

Recently Published Articles