World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
16280
World Ranking
4468
National Ranking
2089

Research.com Recognitions

  • 2009 - ACM Senior Member

Overview

Sylvain Paris is affiliated with Adobe Systems in the United States. Their research primarily focuses on computer science, with a strong emphasis on computer vision and pattern recognition. Their scholarly output includes 25 publications in the domain of computer science, covering several subfields such as cognitive neuroscience, artificial intelligence, statistical and nonlinear physics, and computer graphics and computer-aided design.

Within their main areas of study, Sylvain Paris has contributed extensively to topics related to generative adversarial networks and image synthesis, which accounts for 12 of their publications. Additional key research topics include advanced vision and imaging (10 publications), advanced image processing techniques (8 publications), aesthetic perception and analysis (4 publications), medical image segmentation techniques (4 publications), machine learning in healthcare (2 publications), and model reduction and neural networks (2 publications).

Their publications have appeared in several frequent venues, with the majority published in arXiv (Cornell University), contributing 7 papers. Other publication venues include Lecture Notes in Computer Science and the Computer Graphics Forum.

  • GANSpace: Discovering Interpretable GAN Controls (2020, arXiv (Cornell University))
  • Neural Neighbor Style Transfer (2022, arXiv (Cornell University))
  • Transforming and Projecting Images into Class-Conditional Generative Networks (2020, Lecture Notes in Computer Science)
  • Scaling up GANs for Text-to-Image Synthesis (2023, arXiv (Cornell University))
  • Video-Based Rendering of Dynamic Stationary Environments from Unsynchronized Inputs (2021, Computer Graphics Forum)

Frequent coauthors include Eli Shechtman, Richard Zhang, Jun-Yan Zhu, Yağız Aksoy, and Aaron Hertzmann. Sylvain Paris has received recognition as an ACM Senior Member since 2009.

Best Publications

  • A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach

    Sylvain Paris;Frédo Durand

  • Halide: a language and compiler for optimizing parallelism, locality, and recomputation in image processing pipelines

    Jonathan Ragan-Kelley;Connelly Barnes;Andrew Adams;Sylvain Paris

  • Deep Photo Style Transfer

    Fujun Luan;Sylvain Paris;Eli Shechtman;Kavita Bala

  • A fast approximation of the bilateral filter using a signal processing approach

    Sylvain Paris;Frédo Durand

  • Learning photographic global tonal adjustment with a database of input / output image pairs

    Vladimir Bychkovsky;Sylvain Paris;Eric Chan;Fredo Durand

  • Real-time edge-aware image processing with the bilateral grid

    Jiawen Chen;Sylvain Paris;Frédo Durand

  • Bilateral filtering : theory and applications

    Sylvain Paris;Pierre Kornprobst;JackTumblin Tumblin;Fredo Durand

  • Deep joint demosaicking and denoising

    Michaël Gharbi;Gaurav Chaurasia;Sylvain Paris;Frédo Durand

  • GANSpace: Discovering Interpretable GAN Controls

    Erik Härkönen;Aaron Hertzmann;Jaakko Lehtinen;Jaakko Lehtinen;Sylvain Paris

  • Local Laplacian filters: edge-aware image processing with a Laplacian pyramid

    Sylvain Paris;Samuel W. Hasinoff;Jan Kautz

  • Two-scale tone management for photographic look

    Soonmin Bae;Sylvain Paris;Frédo Durand

  • Scaling up GANs for Text-to-Image Synthesis

    Unknown

  • Style transfer for headshot portraits

    YiChang Shih;Sylvain Paris;Connelly Barnes;William T. Freeman

  • Displacement interpolation using Lagrangian mass transport

    Nicolas Bonneel;Michiel van de Panne;Sylvain Paris;Wolfgang Heidrich

  • A gentle introduction to bilateral filtering and its applications

    Sylvain Paris;Pierre Kornprobst;Jack Tumblin;Frédo Durand

  • Decoupling algorithms from schedules for easy optimization of image processing pipelines

    Jonathan Ragan-Kelley;Andrew Adams;Sylvain Paris;Marc Levoy

  • 6D hands: markerless hand-tracking for computer aided design

    Robert Wang;Sylvain Paris;Jovan Popović

  • Automatic Photo Adjustment Using Deep Neural Networks

    Zhicheng Yan;Hao Zhang;Baoyuan Wang;Sylvain Paris

  • Fast Local Laplacian Filters: Theory and Applications

    Mathieu Aubry;Sylvain Paris;Samuel W. Hasinoff;Jan Kautz

  • User-assisted intrinsic images

    Adrien Bousseau;Sylvain Paris;Frédo Durand

  • A Topological Approach to Hierarchical Segmentation using Mean Shift

    S. Paris;F. Durand

Frequent Co-Authors

Kavita Bala
Kavita Bala Cornell University
Long Quan
Long Quan Hong Kong University of Science and Technology
François X. Sillion
François X. Sillion French Institute for Research in Computer Science and Automation - INRIA
Eli Shechtman
Eli Shechtman Adobe Systems (United States)
Aaron Hertzmann
Aaron Hertzmann Adobe Systems (United States)
Kalyan Sunkavalli
Kalyan Sunkavalli Adobe Systems (United States)
Jan Kautz
Jan Kautz Nvidia (United States)
Hanspeter Pfister
Hanspeter Pfister Harvard University

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

As the demand for technology skills grows, students are exploring flexible options to study related fields online. An accelerated computer science degree online offers a fast, flexible route for motivated learners who want to enter the field quickly. These programs are ideal for those seeking a rigorous education on a condensed timeline.

Tech-savvy students might also consider degrees in engineering or the sciences. Environmental careers are expanding, with many affordable environmental engineering schools online now providing foundational training in sustainability and green technology.

Pursuing an online degree in mechanical engineering prepares students for careers in design, manufacturing, and robotics, while still offering the advantage of learning remotely.

For those with a strong aptitude for math and scientific inquiry, an online bachelor's degree in physics can lead to diverse opportunities in research, engineering, and data science.

Exploring these related online degrees opens pathways to a wide variety of technology-driven careers, making it easier than ever to build a future in STEM—no matter where you are.

Best Scientists Citing Sylvain Paris

Trending Scientists

Recently Published Articles