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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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DTSTART:18871231T000000
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BEGIN:VEVENT
DTSTAMP:20250110T023312Z
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:Technical Papers\n\nHyojoon Park and Sangeetha Grama Srinivasa
 n (University of Wisconsin-Madison); Matthew Cong, Doyub Kim, Byungsoo Kim
 , Jonathan Swartz, and Ken Museth (NVIDIA); and Eftychios Sifakis (Univers
 ity of Wisconsin-Madison, NVIDIA)\n\nWe present a neural network-based sim
 ulation super-resolution framework that enhances facial performance from a
  low-cost, real-time simulation to a detail level similar to high-resoluti
 on, offline simulators. By training on paired low- and high-resolution fra
 mes, our approach generalizes to unseen expressions and compensates for mo
 deling discrepancies without needing semantic descriptors.\n\nRegistration
  Category: Full Access, Full Access Supporter\n\nLanguage Format: English 
 Language\n\nSession Chair: Jungdam Won (Seoul National University)
URL:https://asia.siggraph.org/2024/program/?id=tog_105&sess=sess117
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