BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
X-LIC-LOCATION:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260805T205604Z
LOCATION:Room 403 A
DTSTART;TZID=America/Los_Angeles:20260722T091000
DTEND;TZID=America/Los_Angeles:20260722T092000
UID:siggraph_SIGGRAPH 2026_sess114_papers_968@linklings.com
SUMMARY:STyMo: Fast and Controllable Few-Shot Motion Style Transfer
DESCRIPTION:Jose Luis Ponton (Reality Labs, Meta; Universitat Politècnica 
 de Catalunya (UPC)) and Alexander Winkler, Ladislav Kavan, Yuting Ye, and 
 Petr Kadlecek (Reality Labs, Meta)\n\nSTyMo is a few-shot approach that le
 arns motion style from only seconds of paired data and trains in one to tw
 o minutes. Our key insight is to decompose style into two components: a st
 atic component capturing time-invariant posture, and a temporal component 
 capturing frame-wise dynamics.\n\nInterest Area: Research & Education\n\nK
 eyword: Animation, Artificial Intelligence/Machine Learning, Robotics, Sim
 ulation\n\nRegistration Category: Full Conference Supporter, Full Conferen
 ce\n\nSession Chair: Pei Xu (Stanford University)\n\n
END:VEVENT
END:VCALENDAR