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DTSTAMP:20240214T070248Z
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:Technical Papers\n\nSilvia Sellán (University of Toronto) and 
 Alec Jacobson (University 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 un
 der a Poisson smoothness prior. Our algorithm addresses the main limitatio
 ns of existing work and can be fully integrated into the 3D scanning pipel
 ine, from deciding on the next best sensor position to iteratively updatin
 g the reconstruction upon capturing more data.\n\nRegistration Category: F
 ull Access\n\nSession Chair: Baoquan Chen (Peking University)
URL:https://asia.siggraph.org/2023/full-program?id=papers_373&sess=sess130
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