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DTSTAMP:20240214T070242Z
LOCATION:Darling Harbour Theatre\, Level 2 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T093000
DTEND;TZID=Australia/Melbourne:20231212T124500
UID:siggraphasia_SIGGRAPH Asia 2023_sess209_papers_875@linklings.com
SUMMARY:SFLSH: Shape-Dependent Soft-Flesh Avatars
DESCRIPTION:Technical Papers\n\nPablo Ramón, Cristian Romero, Javier Tapia
 , and Miguel A. Otaduy (Universidad Rey Juan Carlos)\n\nWe present a multi
 -person soft-tissue avatar model. This model maps a body shape descriptor 
 to heterogeneous geometric and mechanical parameters of a soft-tissue mode
 l 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 mechanical parameters, and the comp
 lexity to obtain abundant subject data, which together induce major risk o
 f overfitting the resulting model. To overcome these challenges, we introd
 uce a local shape-dependent regularization of the model. We demonstrate ac
 curate results, on par with independent per-subject estimation, accurate i
 nterpolation within the range of body shapes of the training subjects, and
  good generalization to unseen body shapes. As a result, we obtain a param
 etric soft-flesh avatar model easy to integrate in many existing applicati
 ons.\n\nRegistration Category: Full Access, Enhanced Access, Trade Exhibit
 or, Experience Hall Exhibitor
URL:https://asia.siggraph.org/2023/full-program?id=papers_875&sess=sess209
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