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DTSTAMP:20260114T163655Z
LOCATION:Meeting Room C4.8\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231214T142000
DTEND;TZID=Australia/Melbourne:20231214T143500
UID:siggraphasia_SIGGRAPH Asia 2023_sess151_papers_544@linklings.com
SUMMARY:ClothCombo: Modeling Inter-Cloth Interaction for Draping Multi-Lay
 ered Clothes
DESCRIPTION:Dohae Lee, Hyun Kang, and In-Kwon Lee (Yonsei University)\n\nW
 e present ClothCombo, a pipeline to drape arbitrary combinations of clothe
 s on 3D human models with varying body shapes and poses. While existing le
 arning-based approaches for draping clothes have shown promising results, 
 multi-layered clothing remains challenging as it is non-trivial to model i
 nter-cloth interaction. To this end, our method utilizes a GNN-based netwo
 rk to efficiently model the interaction between clothes in different layer
 s, thus enabling multi-layered clothing. Specifically, we first create fea
 ture embedding for each cloth using a topology-agnostic network. Then, the
  draping network deforms all clothes to fit the target body shape and pose
  without considering inter-cloth interaction. Lastly, the untangling netwo
 rk predicts the per-vertex displacements in a way that resolves interpenet
 ration between clothes. \nIn experiments, the proposed model demonstrates 
 strong performance in complex multi-layered scenarios. Being agnostic to c
 loth topology, our method can be readily used for layered virtual try-on o
 f real clothes in diverse poses and combinations of clothes.\n\nRegistrati
 on Category: Full Access\n\nSession Chair: Tao Du (Tsinghua University, Sh
 anghai Qi Zhi Institute)\n\n
URL:https://asia.siggraph.org/2023/full-program?id=papers_544&sess=sess151
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