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DTSTAMP:20260114T163656Z
LOCATION:Meeting Room C4.11\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231214T142500
DTEND;TZID=Australia/Melbourne:20231214T143500
UID:siggraphasia_SIGGRAPH Asia 2023_sess130_papers_373@linklings.com
SUMMARY:Neural Stochastic Poisson Surface Reconstruction
DESCRIPTION:Silvia Sellán (University of Toronto) and Alec Jacobson (Unive
 rsity of Toronto, Adobe Research)\n\nReconstructing a surface from a point
  cloud is an underdetermined problem. We propose using a neural network to
  study and quantify this reconstruction uncertainty under a Poisson smooth
 ness prior. Our algorithm addresses the main limitations of existing work 
 and can be fully integrated into the 3D scanning pipeline, from deciding o
 n the next best sensor position to iteratively updating the reconstruction
  upon capturing more data.\n\nRegistration Category: Full Access\n\nSessio
 n Chair: Baoquan Chen (Peking University)\n\n
URL:https://asia.siggraph.org/2023/full-program?id=papers_373&sess=sess130
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