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DTSTAMP:20240214T070250Z
LOCATION:Meeting Room C4.11\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231215T150500
DTEND;TZID=Australia/Melbourne:20231215T151500
UID:siggraphasia_SIGGRAPH Asia 2023_sess138_papers_412@linklings.com
SUMMARY:Neural Spectro-polarimetric Fields
DESCRIPTION:Technical Papers\n\nYoungchan Kim, Wonjoon Jin, Sunghyun Cho, 
 and Seung-Hwan Baek (POSTECH)\n\nThe spatial radiance distribution modelin
 g of any light ray within a scene has been extensively explored for applic
 ations, including view synthesis. Spectrum and polarization — the wave pro
 perties of light — are often neglected due to their integration into three
  RGB spectral bands and their non-perceptibility to human vision. Despite 
 this, these properties encompass substantial material and geometric inform
 ation about a scene. \nIn this work, we propose to model spectro-polarimet
 ric fields, the spatial Stokes-vector distribution of any light ray at an 
 arbitrary wavelength. To realize this, we present Neural Spectro-polarimet
 ric Fields (NeSpoF) — a neural representation that models the physically-v
 alid Stokes vector at given continuous variables of position, direction, a
 nd wavelength. NeSpoF manages inherently noisy raw measurements, showcases
  memory efficiency, and preserves physically vital signals — factors that 
 are crucial for representing the high-dimensional signal of a spectro-pola
 rimetric field. To validate NeSpoF, we introduce the first multi-view hype
 rspectral-polarimetric image dataset, comprised of both synthetic and real
 -world scenes. These were captured using our compact hyperspectral-polarim
 etric imaging system, which has been calibrated for robustness against sys
 tem imperfections. We demonstrate the capabilities of NeSpoF on diverse sc
 enes.\n\nRegistration Category: Full Access\n\nSession Chair: Seung-Hwan B
 aek (POSTECH)
URL:https://asia.siggraph.org/2023/full-program?id=papers_412&sess=sess138
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