BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Asia/Tokyo
X-LIC-LOCATION:Asia/Tokyo
BEGIN:STANDARD
TZOFFSETFROM:+0900
TZOFFSETTO:+0900
TZNAME:JST
DTSTART:18871231T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20250110T023304Z
LOCATION:Lobby Gallery (1) & (2)\, G Block\, Level B1
DTSTART;TZID=Asia/Tokyo:20241204T090000
DTEND;TZID=Asia/Tokyo:20241204T180000
UID:siggraphasia_SIGGRAPH Asia 2024_sess196_pos_171@linklings.com
SUMMARY:Generalizing Human Motion Style Transfer Method Based on Metadata-
 independent Learning
DESCRIPTION:Poster\n\nYuki Era, Ren Togo, Keisuke Maeda, Takahiro Ogawa, a
 nd Miki Haseyama (Hokkaido University)\n\nThis study aims to extend the ap
 plicability of motion style transfer methods to be robust for diverse and 
 complex motions akin to those found in real-world data.\n\nRegistration Ca
 tegory: Enhanced Access, Exhibit & Experience Access, Experience Hall Exhi
 bitor, Full Access, Full Access Supporter, Trade Exhibitor
URL:https://asia.siggraph.org/2024/program/?id=pos_171&sess=sess196
END:VEVENT
END:VCALENDAR