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DTSTAMP:20260114T163641Z
LOCATION:Meeting Room C4.11\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231213T124500
DTEND;TZID=Australia/Melbourne:20231213T130000
UID:siggraphasia_SIGGRAPH Asia 2023_sess169_papers_393@linklings.com
SUMMARY:GarmentCode: Programming Parametric Sewing Patterns
DESCRIPTION:Maria Korosteleva and Olga Sorkine-Hornung (ETH Zurich)\n\nGar
 ment modeling is an essential task of the global apparel industry and a co
 re part of digital human modeling. Realistic representation of garments wi
 th valid sewing patterns is key to their accurate digital simulation and e
 ventual fabrication. \nHowever, little-to-no computational tools provide s
 upport for bridging the gap between high-level construction goals and low-
 level editing of pattern geometry, e.g., combining or switching garment el
 ements, semantic editing, or design exploration that maintains the validit
 y of a sewing pattern. We suggest the first DSL for garment modeling -- Ga
 rmentCode -- that applies principles of object-oriented programming to gar
 ment construction and allows designing sewing patterns in a hierarchical, 
 component-oriented manner. The programming-based paradigm naturally provid
 es unique advantages of component abstraction, algorithmic manipulation, a
 nd free-form design parametrization. We additionally support the construct
 ion process by automating typical low-level tasks like placing a dart at a
  desired location. In our prototype garment configurator, users can manipu
 late meaningful design parameters and body measurements, while the constru
 ction of pattern geometry is handled by garment programs implemented with 
 GarmentCode. Our configurator enables the free exploration of rich design 
 spaces and the creation of garments using interchangeable, parameterized c
 omponents. We showcase our approach by producing a variety of garment desi
 gns and retargeting them to different body shapes using our configurator.\
 n\nRegistration Category: Full Access\n\nSession Chair: Bernd Bickel (ETH 
 Zürich, Google)\n\n
URL:https://asia.siggraph.org/2023/full-program?id=papers_393&sess=sess169
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