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VERSION:2.0
PRODID:Linklings LLC
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TZID:Australia/Melbourne
X-LIC-LOCATION:Australia/Melbourne
BEGIN:DAYLIGHT
TZOFFSETFROM:+1000
TZOFFSETTO:+1100
TZNAME:AEDT
DTSTART:19721003T020000
RRULE:FREQ=YEARLY;BYMONTH=4;BYDAY=1SU
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DTSTART:19721003T020000
TZOFFSETFROM:+1100
TZOFFSETTO:+1000
TZNAME:AEST
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=1SU
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BEGIN:VEVENT
DTSTAMP:20260114T163650Z
LOCATION:Exhibition Hall 1\, Level 2 (Exhibition Centre)
DTSTART;TZID=Australia/Melbourne:20231213T110000
DTEND;TZID=Australia/Melbourne:20231213T173000
UID:siggraphasia_SIGGRAPH Asia 2023_sess202_pos_259@linklings.com
SUMMARY:Towards Efficient Local 3D Conditioning
DESCRIPTION:Dingxi Zhang (MIT CSAIL, University of Chinese Academy of Scie
 nce) and Artem Lukoianov (MIT CSAIL)\n\nWe propose an innovative weight-en
 coded, locally conditioned neural implicit representation, utilizing a neu
 ral network to approximate a grid of latent codes, while sharing the decod
 er across the entire category. This approach significantly enhances recons
 truction quality compared to global methods while minimizing memory usage 
 for storing geometries.\n\nRegistration Category: Full Access, Business & 
 Innovation Symposium Access, Exhibit & Experience Access, Enhanced Access,
  Trade Exhibitor, Experience Hall Exhibitor\n\n
URL:https://asia.siggraph.org/2023/full-program?id=pos_259&sess=sess202
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