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BEGIN:VEVENT
DTSTAMP:20260114T163641Z
LOCATION:Meeting Room C4.11\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231213T123000
DTEND;TZID=Australia/Melbourne:20231213T133800
UID:siggraphasia_SIGGRAPH Asia 2023_sess169@linklings.com
SUMMARY:Designer Assistant
DESCRIPTION:PerfectDart: Automatic Dart Design for Garment Fitting\n\nWe p
 ropose a novel computational dart design framework that takes rough user c
 ues (the region where the dart will be inserted) and computes the optimal 
 dart configurations to improve fitness.\n\n\nCharles de Malefette (Ecole P
 olytechnique); Anran Qi (the University of Tokyo); Amal Dev PARAKKAT (LTCI
  - Telecom Paris, Institut Polytechnique de Paris); Marie-Paule Cani (LIX 
 - Ecole Polytechnique, Institut Polytechnique de Paris); and Takeo Igarash
 i (University of Tokyo)\n---------------------\nComputational Design of LE
 GO Sketch Art\n\nThis paper presents computational methods to aid the crea
 tion of LEGO Sketch models from simple input images. Beyond conventional L
 EGO mosaics, we aim to improve the expressiveness of LEGO models by utiliz
 ing LEGO tiles with sloping and rounding edges, together with rectangular 
 bricks, to reproduce ...\n\n\nMingjun Zhou (The Chinese University of Hong
  Kong); Jiahao Ge (The Chinese University of Hong Kong, Qianzhi Technology
  Inc.); Hao Xu (Qianzhi Technology Inc.); and Chi-Wing Fu (The Chinese Uni
 versity of Hong Kong)\n---------------------\nGarmentCode: Programming Par
 ametric Sewing Patterns\n\nGarment modeling is an essential task of the gl
 obal apparel industry and a core part of digital human modeling. Realistic
  representation of garments with valid sewing patterns is key to their acc
 urate digital simulation and eventual fabrication. \nHowever, little-to-no
  computational tools provide sup...\n\n\nMaria Korosteleva and Olga Sorkin
 e-Hornung (ETH Zurich)\n---------------------\nTowards Garment Sewing Patt
 ern Reconstruction from a Single Image\n\nGarment sewing pattern represent
 s the intrinsic rest shape of a garment, and is the core for many applicat
 ions like fashion design, virtual try-on, and digital avatars. In this wor
 k, we explore the challenging problem of recovering garment sewing pattern
 s from daily photos for augmenting these appli...\n\n\nLijuan Liu (Sea AI 
 Lab); Xiangyu Xu (Xi'an Jiaotong University, Sea AI Lab); and Zhijie Lin, 
 Jiabin Liang, and Shuicheng Yan (Sea AI Lab)\n---------------------\nDigit
 al 3D Smocking Design\n\nWe develop an optimization-based method to model 
 smocking, a surface embroidery technique that provides decorative geometri
 c texturing while maintaining stretch properties of the fabric. During smo
 cking, multiple pairs of points on the fabric are stitched together, creat
 ing non-manifold geometric fe...\n\n\nJing Ren, Aviv Segall, and Olga Sork
 ine-Hornung (ETH Zürich)\n\nRegistration Category: Full Access\n\nSession 
 Chair: Bernd Bickel (ETH Zürich, Google)
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