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DTSTAMP:20240214T070248Z
LOCATION:Meeting Room C4.8\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231214T162500
DTEND;TZID=Australia/Melbourne:20231214T163500
UID:siggraphasia_SIGGRAPH Asia 2023_sess166_papers_875@linklings.com
SUMMARY:SFLSH: Shape-Dependent Soft-Flesh Avatars
DESCRIPTION:Technical Communications, Technical Papers\n\nPablo Ramón, Cri
 stian Romero, Javier Tapia, and Miguel A. Otaduy (Universidad Rey Juan Car
 los)\n\nWe present a multi-person soft-tissue avatar model. This model map
 s a body shape descriptor to heterogeneous geometric and mechanical parame
 ters of a soft-tissue model across the body, effectively producing a shape
 -dependent parametric soft avatar model. The design of the model overcomes
  two major challenges, the potential redundancy of geometric and mechanica
 l parameters, and the complexity to obtain abundant subject data, which to
 gether induce major risk of overfitting the resulting model. To overcome t
 hese challenges, we introduce a local shape-dependent regularization of th
 e model. We demonstrate accurate results, on par with independent per-subj
 ect estimation, accurate interpolation within the range of body shapes of 
 the training subjects, and good generalization to unseen body shapes. As a
  result, we obtain a parametric soft-flesh avatar model easy to integrate 
 in many existing applications.\n\nRegistration Category: Full Access\n\nSe
 ssion Chair: Seungbae Bang (Amazon, University of Toronto)
URL:https://asia.siggraph.org/2023/full-program?id=papers_875&sess=sess166
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