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DTSTAMP:20240214T070248Z
LOCATION:Meeting Room C4.8\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231215T093000
DTEND;TZID=Australia/Melbourne:20231215T094000
UID:siggraphasia_SIGGRAPH Asia 2023_sess155_papers_907@linklings.com
SUMMARY:Conditional Resampled Importance Sampling and ReSTIR
DESCRIPTION:Technical Papers\n\nMarkus Kettunen and Daqi Lin (NVIDIA); Rav
 i Ramamoorthi (NVIDIA, University of California San Diego); Thomas Bashfor
 d-Rogers (University of Warwick); and Chris Wyman (NVIDIA)\n\nRecent work 
 on generalized resampled importance sampling (GRIS) enables importance-sam
 pled Monte Carlo integration with random variable weights replacing the us
 ual division by probability density. This enables very flexible spatiotemp
 oral sample reuse, even if neighboring samples (e.g., light paths) have in
 tractable probability densities.\nUnlike typical Monte Carlo integration, 
 which samples according to some PDF, GRIS instead resamples existing sampl
 es.  But resampling with GRIS assumes samples have tractable marginal cont
 ribution weights, which is problematic if reusing, for example, light subp
 aths from unidirectionally-sampled paths.\nReusing such subpaths requires 
 conditioning by (non-reused) segments of the path prefixes. \n\nIn this pa
 per, we extend GRIS to conditional probability spaces, showing correctness
  given certain conditional independence between integration variables and 
 their unbiased contribution weights.  We show proper conditioning when usi
 ng GRIS over randomized conditional domains and how to formulate a joint u
 nbiased contribution weight for unbiased integration.\n\nTo show our theor
 y has practical impact, we prototype a modified ReSTIR PT with a final gat
 her pass.  This reuses subpaths, postponing reuse at least one bounce alon
 g each light path.  As in photon mapping, such a final gather reduces blot
 chy artifacts from sample correlation and reduced correlation improves the
  behavior of modern denoisers on ReSTIR PT signals.\n\nRegistration Catego
 ry: Full Access\n\nSession Chair: Sing Chun Lee (Bucknell University)
URL:https://asia.siggraph.org/2023/full-program?id=papers_907&sess=sess155
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