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TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:19700308T020000
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DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
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BEGIN:VEVENT
DTSTAMP:20260417T190157Z
LOCATION:West Building\, Rooms 220-222
DTSTART;TZID=America/Los_Angeles:20250813T155500
DTEND;TZID=America/Los_Angeles:20250813T160500
UID:siggraph_SIGGRAPH 2025_sess156_papers_277@linklings.com
SUMMARY:MAGNET: Muscle Activation Generation Networks for Diverse Human Mo
 vement
DESCRIPTION:Jungnam Park, Euikyun Jung, Jehee Lee, and Jungdam Won (Seoul 
 National University)\n\nWe introduce MAGNET (Muscle Activation Generation 
 Networks), a scalable framework for reconstructing full-body muscle activa
 tions across diverse human movements, which also includes distilled models
  for solving downstream tasks or generating real-time muscle activations—e
 ven on edge devices. The efficacy is demonstrated through examples of dail
 y life and challenging behaviors.\n\nInterest Area: Research & Education\n
 \nRecording: Livestreamed, Not Livestreamed, Recorded, Not Recorded\n\nReg
 istration Category: Full Conference, Virtual Access, Wednesday\n\nSession 
 Chair: Yuting Ye (Reality Labs Research, Meta; Meta)\n\n
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