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TZOFFSETFROM:-0700
TZOFFSETTO:-0600
TZNAME:MDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20250522T212944Z
LOCATION:Mile High 4
DTSTART;TZID=America/Denver:20240729T090000
DTEND;TZID=America/Denver:20240729T091000
UID:siggraph_SIGGRAPH 2024_sess101_papers_813@linklings.com
SUMMARY:Text-to-vector Generation With Neural Path Representation
DESCRIPTION:Peiying Zhang (City University of Hong Kong), Nanxuan Zhao (Ad
 obe Research), and Jing Liao (City University of Hong Kong)\n\nWe propose 
 a novel pipeline to generate high-quality vector graphics based on text pr
 ompts. Utilizing neural path representation and a two-stage path optimizat
 ion process, we can incorporate geometric constraints while preserving exp
 ressivity in the generated SVGs.\n\nInterest Area: Research & Education\n\
 nRecording: Livestreamed, Recorded\n\nKeyword: Geometry, Modeling\n\nRegis
 tration Category: Full Conference, Full Conference Supporter, Virtual Acce
 ss, Exhibitor Full Conference, Monday\n\nSession Chair: Gilbert Bernstein 
 (University of Washington)\n\n
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