skip to main content
10.1145/3450623.3464672acmconferencesArticle/Chapter ViewAbstractPublication PagessiggraphConference Proceedingsconference-collections
invited-talk

Time and Memory Efficient Displacement Map Extraction

Published:06 August 2021Publication History

ABSTRACT

Displacement maps are used to enhance the final rendered animation at most high-end studios including Blizzard Entertainment. However, commonly available products (Mudbox, Zbrush) that are used to sculpt high resolution models and extract displacements from low resolution counterparts are not conducive for quick iterative workflow that artists normally demand. Here we will summarize the drawbacks in accommodating such commercial products in our pipeline. We then present our custom solution developed using open industry standard libraries like OpenSubDiv (Pixar), OptiX (NVIDIA) and Embree (Intel). We also highlight how we employed frequency analysis (Discrete Cosine Transform) to extract time efficient and memory optimal displacement samples, all of which has objectively improved overall productivity in our workflows involving displacement maps.

Skip Supplemental Material Section

Supplemental Material

3450623.3464672.mp4

Index Terms

  1. Time and Memory Efficient Displacement Map Extraction
    Index terms have been assigned to the content through auto-classification.

    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 '21: ACM SIGGRAPH 2021 Talks
      July 2021
      116 pages
      ISBN:9781450383738
      DOI:10.1145/3450623

      Copyright © 2021 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: 6 August 2021

      Check for updates

      Qualifiers

      • invited-talk
      • Research
      • Refereed limited

      Acceptance Rates

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

      • Downloads (Last 12 months)4
      • Downloads (Last 6 weeks)0

      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