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DTSTART:19721003T020000
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BEGIN:VEVENT
DTSTAMP:20240214T070249Z
LOCATION:Exhibition Hall 1\, Level 2 (Exhibition Centre)
DTSTART;TZID=Australia/Melbourne:20231215T100000
DTEND;TZID=Australia/Melbourne:20231215T160000
UID:siggraphasia_SIGGRAPH Asia 2023_sess199_pos_259@linklings.com
SUMMARY:Towards Efficient Local 3D Conditioning
DESCRIPTION:Poster\n\nDingxi Zhang (MIT CSAIL, University of Chinese Acade
 my of Science) and Artem Lukoianov (MIT CSAIL)\n\nWe propose an innovative
  weight-encoded, locally conditioned neural implicit representation, utili
 zing a neural network to approximate a grid of latent codes, while sharing
  the decoder across the entire category. This approach significantly enhan
 ces reconstruction quality compared to global methods while minimizing mem
 ory usage for storing geometries.\n\nRegistration Category: Full Access, B
 usiness & Innovation Symposium Access, Exhibit & Experience Access, Enhanc
 ed Access, Trade Exhibitor, Experience Hall Exhibitor
URL:https://asia.siggraph.org/2023/full-program?id=pos_259&sess=sess199
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