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BEGIN:VEVENT
DTSTAMP:20240214T070310Z
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:Technical Communications, Technical Papers, TOG\n\nGarmentCode
 : Programming Parametric Sewing Patterns\n\nGarment modeling is an essenti
 al task of the global apparel industry and a core part of digital human mo
 deling. Realistic representation of garments with valid sewing patterns is
  key to their accurate digital simulation and eventual fabrication. \nHowe
 ver, little-to-no computational tools provide sup...\n\n\nMaria Korostelev
 a and Olga Sorkine-Hornung (ETH Zurich)\n---------------------\nComputatio
 nal Design of LEGO Sketch Art\n\nThis paper presents computational methods
  to aid the creation of LEGO Sketch models from simple input images. Beyon
 d conventional LEGO mosaics, we aim to improve the expressiveness of LEGO 
 models by utilizing LEGO tiles with sloping and rounding edges, together w
 ith rectangular bricks, to reproduce ...\n\n\nMingjun Zhou (The Chinese Un
 iversity of Hong Kong); Jiahao Ge (The Chinese University of Hong Kong, Qi
 anzhi Technology Inc.); Hao Xu (Qianzhi Technology Inc.); and Chi-Wing Fu 
 (The Chinese University of Hong Kong)\n---------------------\nTowards Garm
 ent Sewing Pattern Reconstruction from a Single Image\n\nGarment sewing pa
 ttern represents the intrinsic rest shape of a garment, and is the core fo
 r many applications like fashion design, virtual try-on, and digital avata
 rs. In this work, we explore the challenging problem of recovering garment
  sewing patterns from daily photos for augmenting these appli...\n\n\nLiju
 an Liu (Sea AI Lab); Xiangyu Xu (Xi'an Jiaotong University, Sea AI Lab); a
 nd Zhijie Lin, Jiabin Liang, and Shuicheng Yan (Sea AI Lab)\n-------------
 --------\nPerfectDart: Automatic Dart Design for Garment Fitting\n\nWe pro
 pose a novel computational dart design framework that takes rough user cue
 s (the region where the dart will be inserted) and computes the optimal da
 rt configurations to improve fitness.\n\n\nCharles de Malefette (Ecole Pol
 ytechnique); 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 Igarashi 
 (University of Tokyo)\n---------------------\nDigital 3D Smocking Design\n
 \nWe develop an optimization-based method to model smocking, a surface emb
 roidery technique that provides decorative geometric texturing while maint
 aining stretch properties of the fabric. During smocking, multiple pairs o
 f points on the fabric are stitched together, creating non-manifold geomet
 ric fe...\n\n\nJing Ren, Aviv Segall, and Olga Sorkine-Hornung (ETH Zürich
 )\n\nRegistration Category: Full Access\n\nSession Chair: Bernd Bickel (In
 stitute of Science and Technology Austria, Google)
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