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DTSTAMP:20260114T163631Z
LOCATION:Darling Harbour Theatre\, Level 2 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T093000
DTEND;TZID=Australia/Melbourne:20231212T124500
UID:siggraphasia_SIGGRAPH Asia 2023_sess209_papers_412@linklings.com
SUMMARY:Neural Spectro-polarimetric Fields
DESCRIPTION:Youngchan Kim, Wonjoon Jin, Sunghyun Cho, and Seung-Hwan Baek 
 (POSTECH)\n\nThe spatial radiance distribution modeling of any light ray w
 ithin a scene has been extensively explored for applications, including vi
 ew synthesis. Spectrum and polarization — the wave properties of light — a
 re often neglected due to their integration into three RGB spectral bands 
 and their non-perceptibility to human vision. Despite this, these properti
 es encompass substantial material and geometric information about a scene.
  \nIn this work, we propose to model spectro-polarimetric fields, the spat
 ial Stokes-vector distribution of any light ray at an arbitrary wavelength
 . To realize this, we present Neural Spectro-polarimetric Fields (NeSpoF) 
 — a neural representation that models the physically-valid Stokes vector a
 t given continuous variables of position, direction, and wavelength. NeSpo
 F manages inherently noisy raw measurements, showcases memory efficiency, 
 and preserves physically vital signals — factors that are crucial for repr
 esenting the high-dimensional signal of a spectro-polarimetric field. To v
 alidate NeSpoF, we introduce the first multi-view hyperspectral-polarimetr
 ic image dataset, comprised of both synthetic and real-world scenes. These
  were captured using our compact hyperspectral-polarimetric imaging system
 , which has been calibrated for robustness against system imperfections. W
 e demonstrate the capabilities of NeSpoF on diverse scenes.\n\nRegistratio
 n Category: Full Access, Enhanced Access, Trade Exhibitor, Experience Hall
  Exhibitor\n\n
URL:https://asia.siggraph.org/2023/full-program?id=papers_412&sess=sess209
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