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BEGIN:VEVENT
DTSTAMP:20260417T190157Z
LOCATION:West Building\, Rooms 220-222
DTSTART;TZID=America/Los_Angeles:20250813T110500
DTEND;TZID=America/Los_Angeles:20250813T111500
UID:siggraph_SIGGRAPH 2025_sess153_papers_366@linklings.com
SUMMARY:StreamME: Simplify 3D Gaussian Avatar within Live Stream
DESCRIPTION:Luchuan Song (University of Rochester, Adobe Research); Yang Z
 hou, Zhan Xu, Yi Zhou, and Deepali Aneja (Adobe Research); and Chenliang X
 u (University of Rochester)\n\nThe StreamME takes live stream video as inp
 ut to enable rapid 3D head avatar reconstruction. It achieves impressive s
 peed, capturing the basic facial appearance within 10-seconds and reaching
  high-quality fidelity within 5-minutes. StreamME reconstructs facial feat
 ures through on-the-fly training, allowing simultaneous recording and mode
 ling without the need for pre-cached data.\n\nInterest Area: Research & Ed
 ucation\n\nRecording: Livestreamed, Not Livestreamed, Recorded, Not Record
 ed\n\nRegistration Category: Full Conference, Virtual Access, Wednesday\n\
 nSession Chair: Bernd Bickel (ETH Zürich, Google)\n\n
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