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DTSTAMP:20260114T163653Z
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:Miša Korać (Saarland University, DFKI); Corentin Salaün (Max P
 lanck Institute for Informatics); Iliyan Georgiev (Adobe); Pascal Grittman
 n (Saarland University); Philipp Slusallek (Saarland University, DFKI); an
 d Karol Myszkowski and Gurprit Singh (Max Planck Institute for Informatics
 )\n\nIndependently estimating individual pixel values in Monte Carlo rende
 ring results in a perceptually sub-optimal white-noise distribution of err
 or in image space. Recent works have shown that perceptual fidelity can be
  improved significantly by distributing pixel error as blue noise instead.
  Most such works have focused on static images, ignoring the temporal perc
 eptual effects of animation display. We extend prior formulations to simul
 taneously consider the spatial and temporal domains, and perform an analys
 is to motivate a perceptually better spatio-temporal error distribution. W
 e then propose a practical error optimization algorithm for spatio-tempora
 l rendering and demonstrate its effectiveness in various configurations.\n
 \nRegistration Category: Full Access\n\nSession Chair: Juno Kim (Universit
 y of New South Wales; School of Optometry and Vision Science, Faculty of M
 edicine and Health, UNSW)\n\n
URL:https://asia.siggraph.org/2023/full-program?id=papers_234&sess=sess134
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