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DTSTAMP:20260114T163653Z
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:Pablo Ramón, Cristian Romero, Javier Tapia, and Miguel A. Otad
 uy (Universidad Rey Juan Carlos)\n\nWe present a multi-person soft-tissue 
 avatar model. This model maps a body shape descriptor to heterogeneous geo
 metric and mechanical parameters of a soft-tissue model across the body, e
 ffectively producing a shape-dependent parametric soft avatar model. The d
 esign of the model overcomes two major challenges, the potential redundanc
 y of geometric and mechanical parameters, and the complexity to obtain abu
 ndant subject data, which together induce major risk of overfitting the re
 sulting model. To overcome these challenges, we introduce a local shape-de
 pendent regularization of the model. We demonstrate accurate results, on p
 ar with independent per-subject 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 ava
 tar model easy to integrate in many existing applications.\n\nRegistration
  Category: Full Access\n\nSession Chair: Seungbae Bang (Amazon)\n\n
URL:https://asia.siggraph.org/2023/full-program?id=papers_875&sess=sess166
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