skip to main content
10.1145/3449726.3463281acmconferencesArticle/Chapter ViewAbstractPublication PagesgeccoConference Proceedingsconference-collections
abstract

Benchmarking gradient-free optimizers for 3D performance capture in the nevergrad platform

Published: 08 July 2021 Publication History

Abstract

In this paper we document our work that extends the nevergrad platform by adding a real-world benchmark at the intersection of computer vision and graphics: 3D Performance Capture. Detailed documentation can be found at vcl3d.github.io/nevergrad/

References

[1]
A. Doumanoglou, P. Drakoulis, K. Chrstaki, N. Zioulis, V. Sterzentsenko, A. Karakottas, D. Zarpalas, and P. Daras. 2021. Zeroth-Order Optimizer Benchmarking for 3D Performance Capture: A real-world use case analysis. In Proceedings of the Genetic and Evolutionary Computation Conference 2021 (GECCO '21).
[2]
Michael Kazhdan and Hugues Hoppe. 2013. Screened poisson surface reconstruction. ACM Transactions on Graphics (ToG) 32, 3 (2013), 1--13.
[3]
RabbitMQ 2021. - Messaging that just works. https://www.rabbitmq.com/.
[4]
J. Rapin and O. Teytaud. 2018. Nevergrad - A gradient-free optimization platform. https://GitHub.com/FacebookResearch/Nevergrad.
[5]
Vladimiros Sterzentsenko, Antonis Karakottas, Alexandros Papachristou, Nikolaos Zioulis, Alexandros Doumanoglou, Dimitrios Zarpalas, and Petros Daras. 2018. A low-cost, flexible and portable volumetric capturing system. In 2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS). IEEE, 200--207.

Index Terms

  1. Benchmarking gradient-free optimizers for 3D performance capture in the nevergrad platform

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    GECCO '21: Proceedings of the Genetic and Evolutionary Computation Conference Companion
    July 2021
    2047 pages
    ISBN:9781450383516
    DOI:10.1145/3449726
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 08 July 2021

    Check for updates

    Author Tags

    1. benchmarking
    2. nevergrad
    3. open source
    4. optimization
    5. performance capture

    Qualifiers

    • Abstract

    Funding Sources

    • EU

    Conference

    GECCO '21
    Sponsor:

    Acceptance Rates

    Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 55
      Total Downloads
    • Downloads (Last 12 months)7
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 12 Jan 2025

    Other Metrics

    Citations

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media