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PRODID:Linklings LLC
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TZID:Asia/Tokyo
X-LIC-LOCATION:Asia/Tokyo
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TZOFFSETFROM:+0900
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TZNAME:JST
DTSTART:18871231T000000
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BEGIN:VEVENT
DTSTAMP:20260817T171531Z
LOCATION:Hall B7 (1)\, B Block\, Level 7
DTSTART;TZID=Asia/Tokyo:20241204T133400
DTEND;TZID=Asia/Tokyo:20241204T134600
UID:siggraphasia_SIGGRAPH Asia 2024_sess117_tog_105@linklings.com
SUMMARY:Near-realtime Facial Animation by Deep 3D Simulation Super-Resolut
 ion
DESCRIPTION:Hyojoon Park and Sangeetha Grama Srinivasan (University of Wis
 consin-Madison); Matthew Cong, Doyub Kim, Byungsoo Kim, Jonathan Swartz, a
 nd Ken Museth (NVIDIA); and Eftychios Sifakis (University of Wisconsin-Mad
 ison, NVIDIA)\n\nWe present a neural network-based simulation super-resolu
 tion framework that enhances facial performance from a low-cost, real-time
  simulation to a detail level similar to high-resolution, offline simulato
 rs. By training on paired low- and high-resolution frames, our approach ge
 neralizes to unseen expressions and compensates for modeling discrepancies
  without needing semantic descriptors.\n\nRegistration Category: Full Acce
 ss, Full Access Supporter\n\nLanguage Format: English Language\n\nSession 
 Chair: Jungdam Won (Seoul National University)\n\n
URL:https://asia.siggraph.org/2024/program/?id=tog_105&sess=sess117
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