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DTSTAMP:20240214T070248Z
LOCATION:Meeting Room C4.11\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231215T094000
DTEND;TZID=Australia/Melbourne:20231215T095000
UID:siggraphasia_SIGGRAPH Asia 2023_sess134_papers_234@linklings.com
SUMMARY:Perceptual error optimization for Monte Carlo animation rendering
DESCRIPTION:Technical Papers\n\nMiša Korać (Saarland University, DFKI); Co
 rentin Salaün (Max Planck Institute for Informatics); Iliyan Georgiev (Ado
 be); Pascal Grittmann (Saarland University); Philipp Slusallek (Saarland U
 niversity, DFKI); and Karol Myszkowski and Gurprit Singh (Max Planck Insti
 tute for Informatics)\n\nIndependently estimating individual pixel values 
 in Monte Carlo rendering results in a perceptually sub-optimal white-noise
  distribution of error in image space. Recent works have shown that percep
 tual fidelity can be improved significantly by distributing pixel error as
  blue noise instead. Most such works have focused on static images, ignori
 ng the temporal perceptual effects of animation display. We extend prior f
 ormulations to simultaneously consider the spatial and temporal domains, a
 nd perform an analysis to motivate a perceptually better spatio-temporal e
 rror distribution. We then propose a practical error optimization algorith
 m for spatio-temporal rendering and demonstrate its effectiveness in vario
 us configurations.\n\nRegistration Category: Full Access\n\nSession Chair:
  Juno Kim (University of New South Wales)
URL:https://asia.siggraph.org/2023/full-program?id=papers_234&sess=sess134
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