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DTSTART:19721003T020000
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DTSTART:19721003T020000
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BEGIN:VEVENT
DTSTAMP:20260114T163712Z
LOCATION:Meeting Room C4.8\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231214T170800
DTEND;TZID=Australia/Melbourne:20231214T171600
UID:siggraphasia_SIGGRAPH Asia 2023_sess166_tcom_142@linklings.com
SUMMARY:Learning Multivariate Empirical Mode Decomposition for Spectral Mo
 tion Editing
DESCRIPTION:Ran Dong (Chukyo University), Soichiro Ikuno (Tokyo University
  of Technology), and Xi Yang (Jilin University)\n\nThis research proposes 
 an architecture for neural networks to learn multivariate empirical mode d
 ecomposition. Editing the decomposed non-linear frequency components achie
 ves novel tasks for character animation synthesis.\n\nRegistration Categor
 y: Full Access\n\nSession Chair: Seungbae Bang (Amazon)\n\n
URL:https://asia.siggraph.org/2023/full-program?id=tcom_142&sess=sess166
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