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TZNAME:PDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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BEGIN:VEVENT
DTSTAMP:20260417T190158Z
LOCATION:West Building\, Rooms 220-222
DTSTART;TZID=America/Los_Angeles:20250811T104500
DTEND;TZID=America/Los_Angeles:20250811T105500
UID:siggraph_SIGGRAPH 2025_sess143_papers_579@linklings.com
SUMMARY:Motion Control via Metric-Aligning Motion Matching
DESCRIPTION:Naoki Agata and Takeo Igarashi (The University of Tokyo)\n\nMe
 tric-Aligning Motion Matching (MAMM) is a novel method for controlling mot
 ion sequences using sketches, labels, audio, or another motion sequence wi
 thout requiring training or annotations. By aligning within-domain distanc
 es, MAMM provides a flexible and efficient solution for motion control acr
 oss various control modalities.\n\nInterest Area: Research & Education\n\n
 Recording: Livestreamed, Not Livestreamed, Recorded, Not Recorded\n\nRegis
 tration Category: Full Conference, Virtual Access, Monday\n\nSession Chair
 : David Levin (University of Toronto, NVIDIA)\n\n
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