skip to main content
10.1145/3532719.3543252acmconferencesArticle/Chapter ViewAbstractPublication PagessiggraphConference Proceedingsconference-collections
poster

A Well-aligned Dataset for Learning Image Signal Processing on Smartphones from a High-end Camera

Published:25 July 2022Publication History

ABSTRACT

No abstract available.

Skip Supplemental Material Section

Supplemental Material

References

  1. Steve Bako, Thijs Vogels, Brian McWilliams, Mark Meyer, Jan Novák, Alex Harvill, Pradeep Sen, Tony Derose, and Fabrice Rousselle. 2017. Kernel-predicting convolutional networks for denoising Monte Carlo renderings.ACM Trans. Graph. (TOG) 36, 4 (2017), 97–1.Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Chen Chen, Qifeng Chen, Jia Xu, and Vladlen Koltun. 2018. Learning to See in the Dark. In Conference on Computer Vision and Pattern Recognition (CVPR).Google ScholarGoogle ScholarCross RefCross Ref
  3. Gabriele Guarnieri, Stefano Marsi, and Giovanni Ramponi. 2011. High Dynamic Range Image Display With Halo and Clipping Prevention. IEEE Trans. Image Processing (TIP) 36, 4 (2011), 1–12.Google ScholarGoogle Scholar
  4. Andrey Ignatov, Nikolay Kobyshev, Radu Timofte, Kenneth Vanhoey, and Luc Van Gool. 2017. DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks. In International Conference on Computer Vision (ICCV).Google ScholarGoogle Scholar
  5. Sylvain Paris, Samuel W Hasinoff, and Jan Kautz. 2011. Local laplacian filters: Edge-aware image processing with a laplacian pyramid.ACM Trans. Graph. (TOG) 30, 4 (2011), 68.Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik Learned-Miller, and Jan Kautz. 2019. Pixel-Adaptive Convolutional Neural Networks. In Conference on Computer Vision and Pattern Recognition (CVPR).Google ScholarGoogle Scholar

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Conferences
    SIGGRAPH '22: ACM SIGGRAPH 2022 Posters
    July 2022
    132 pages
    ISBN:9781450393614
    DOI:10.1145/3532719

    Copyright © 2022 Owner/Author

    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.

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 25 July 2022

    Check for updates

    Qualifiers

    • poster
    • Research
    • Refereed limited

    Acceptance Rates

    Overall Acceptance Rate1,822of8,601submissions,21%
  • Article Metrics

    • Downloads (Last 12 months)100
    • Downloads (Last 6 weeks)5

    Other Metrics

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format .

View HTML Format