skip to main content
10.1145/3532836.3536252acmconferencesArticle/Chapter ViewAbstractPublication PagessiggraphConference Proceedingsconference-collections
invited-talk

Revamping the Cloth Tailoring Pipeline at Pixar

Published:24 July 2022Publication History

ABSTRACT

This work presents the most recent updates to the cloth tailoring pipeline at Pixar. We start by reviewing the evolution of cloth authoring tools used at Pixar from 2001 to the present day. Motivated by previous approaches, we introduce a structured workflow for cloth tailoring that manages multiple mesh versions concurrently. In our implementation, artists interact primarily with a low-resolution quad-dominant mesh, which defines the garment look as well as setups for rigging and simulation. Our system then converts this coarse input model into a triangulated mesh for simulation and a quadrangulated subdivision surface for rendering. To this end, we developed a new remeshing tool that outputs surface triangulations with adaptive resolution and conforming to edge constraints. We also devised procedural routines to generate render meshes by applying fold-over thickness, refining the mesh, and inserting seams. In addition, we introduced a suite of algorithms for transferring input attributes onto the derived meshes, including UV shells, face colors, crease edges, and vertex weights. Our revamped pipeline was deployed on Pixar’s feature films Turning Red and Lightyear, producing hundreds of high-quality garment meshes.

References

  1. M. Botsch and L. Kobbelt. 2004. A Remeshing Approach to Multiresolution Modeling. In Proc. of the Eurographics/ACM SIGGRAPH Symp. on Geometry Processing. 185–192.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 Talks
    July 2022
    108 pages
    ISBN:9781450393713
    DOI:10.1145/3532836

    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: 24 July 2022

    Check for updates

    Qualifiers

    • invited-talk
    • Research
    • Refereed limited

    Acceptance Rates

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

    • Downloads (Last 12 months)38
    • Downloads (Last 6 weeks)6

    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