BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Drupal iCal API//EN
X-WR-CALNAME:Events items teaser
X-WR-TIMEZONE:America/Toronto
BEGIN:VTIMEZONE
TZID:America/Toronto
X-LIC-LOCATION:America/Toronto
BEGIN:DAYLIGHT
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
DTSTART:20230312T070000
END:DAYLIGHT
BEGIN:STANDARD
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
DTSTART:20231105T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:6830182a763ea
DTSTART;TZID=America/Toronto:20240307T103000
SEQUENCE:0
TRANSP:TRANSPARENT
DTEND;TZID=America/Toronto:20240307T113000
URL:/computer-science/events/seminar-artificial-intelli
 gence-generative-ai-for-3d-content
SUMMARY:Seminar • Artificial Intelligence • Generative AI for 3D Conten
 t
CLASS:PUBLIC
DESCRIPTION:Summary \n\nPLEASE NOTE: THIS SEMINAR WILL TAKE PLACE IN DC 130
 4.\n\nJUN GAO\, PHD CANDIDATE\n_Department of Computer Science\, Universit
 y of Toronto_\n\n3D content is key in several domains\, such as VR/AR\, ar
 chitecture\,\nfilm\, gaming\, and robotics\, and lies in the heart of the 
 metaverse\napplications. While generative AI has achieved significant succ
 ess in\nlanguage\, image\, and video\, its application in 3D content encou
 nters\nfundamental challenges in the scarcity of 3D training data and\ninc
 reased complexities inherent in 3D.\n 
DTSTAMP:20250523T063938Z
END:VEVENT
END:VCALENDAR