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Computer Science

D-Index
69
Citations
29860
World Ranking
1928
National Ranking
978

Overview

Paul Debevec is a researcher affiliated with Google in the United States, specializing primarily in computer science. Their work focuses extensively on computer vision, computer graphics, and image processing, with a notable concentration on advanced vision and imaging as well as computer graphics and visualization techniques.

Their research spans several subfields within computer science, including computer vision and pattern recognition, computer graphics and computer-aided design, computational mechanics, atomic and molecular physics and optics, and geology. This multidisciplinary engagement reflects a broad spectrum of scientific inquiry related to imaging and modeling technologies.

Among their recent publications are several articles appearing in prestigious venues such as ACM Transactions on Graphics, arXiv (Cornell University), and IEEE Transactions on Pattern Analysis and Machine Intelligence. Noteworthy papers include:

  • NeRFactor, 2021, ACM Transactions on Graphics
  • Immersive light field video with a layered mesh representation, 2020, ACM Transactions on Graphics
  • Total relighting, 2021, ACM Transactions on Graphics
  • NeRFactor: Neural Factorization of Shape and Reflectance Under an Unknown Illumination, 2021, arXiv (Cornell University)
  • Baking Neural Radiance Fields for Real-Time View Synthesis, 2024, IEEE Transactions on Pattern Analysis and Machine Intelligence

Frequent co-authors collaborating with Paul Debevec include Jonathan T. Barron, Chloe LeGendre, Christoph Rhemann, Sean Fanello, and Xiuming Zhang, with collaboration counts ranging from four to six publications each. This reflects a network of researchers jointly advancing topics in imaging and computer graphics.

Their body of work is often published in these venues:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • The Digital Production Symposium

Paul Debevec's research extensively covers the following main topics:

  • Advanced Vision and Imaging
  • Computer Graphics and Visualization Techniques
  • Image Enhancement Techniques
  • Advanced Image Processing Techniques
  • 3D Shape Modeling and Analysis
  • Color Science and Applications
  • Generative Adversarial Networks and Image Synthesis

Best Publications

  • Recovering high dynamic range radiance maps from photographs

    Paul E. Debevec;Jitendra Malik

  • Modeling and rendering architecture from photographs: a hybrid geometry- and image-based approach

    Paul E. Debevec;Camillo J. Taylor;Jitendra Malik

  • High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting

    Erik Reinhard;Greg Ward;Summant Pattanaik;Paul Debevec

  • Rendering synthetic objects into real scenes: bridging traditional and image-based graphics with global illumination and high dynamic range photography

    Paul Debevec

  • Acquiring the reflectance field of a human face

    Paul Debevec;Tim Hawkins;Chris Tchou;Haarm-Pieter Duiker

  • Recovering high dynamic range radiance maps from photographs

    Unknown

  • Efficient View-Dependent Image-Based Rendering with Projective Texture-Mapping

    Paul Debevec;Yizhou Yu;George Boshokov

  • Inverse global illumination: recovering reflectance models of real scenes from photographs

    Yizhou Yu;Paul Debevec;Jitendra Malik;Tim Hawkins

  • Rendering for an interactive 360° light field display

    Andrew Jones;Ian McDowall;Hideshi Yamada;Mark Bolas

  • Image-based lighting

    Paul Debevec

  • High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting (The Morgan Kaufmann Series in Computer Graphics)

    Erik Reinhard;Greg Ward;Sumanta Pattanaik;Paul Debevec

  • DeepView: View Synthesis With Learned Gradient Descent

    John Flynn;Michael Broxton;Paul Debevec;Matthew DuVall

  • NeRFactor

    Unknown

  • Rapid acquisition of specular and diffuse normal maps from polarized spherical gradient illumination

    Wan-Chun Ma;Tim Hawkins;Pieter Peers;Charles-Felix Chabert

  • Modeling and Rendering Architecture from Photographs

    Paul Ernest Debevec;Jitendra Malik

  • Performance relighting and reflectance transformation with time-multiplexed illumination

    Andreas Wenger;Andrew Gardner;Chris Tchou;Jonas Unger

  • Dynamic shape capture using multi-view photometric stereo

    Daniel Vlasic;Pieter Peers;Ilya Baran;Paul Debevec

  • Image-based modeling, rendering, and lighting

    P. Debevec;L. McMillan

  • High dynamic range imaging

    Paul Debevec;Erik Reinhard;Greg Ward;Sumanta Pattanaik

  • Single image portrait relighting

    Tiancheng Sun;Jonathan T. Barron;Yun-Ta Tsai;Zexiang Xu

  • A lighting reproduction approach to live-action compositing

    Paul Debevec;Andreas Wenger;Chris Tchou;Andrew Gardner

  • Linear light source reflectometry

    Andrew Gardner;Chris Tchou;Tim Hawkins;Paul Debevec

  • Multiview face capture using polarized spherical gradient illumination

    Abhijeet Ghosh;Graham Fyffe;Borom Tunwattanapong;Jay Busch

Frequent Co-Authors

Pieter Peers
Pieter Peers William & Mary
Mark Bolas
Mark Bolas Microsoft (United States)
Erik Reinhard
Erik Reinhard InterDigital (United States)
Christoph Rhemann
Christoph Rhemann Google (United States)
Sean Ryan Fanello
Sean Ryan Fanello Google (United States)
Ravi Ramamoorthi
Ravi Ramamoorthi University of California, San Diego
Jonathan T. Barron
Jonathan T. Barron Google (United States)
Shahram Izadi
Shahram Izadi Google (United States)
Jitendra Malik
Jitendra Malik University of California, Berkeley
Hao Li
Hao Li University of California, Berkeley

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