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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20250522T212945Z
LOCATION:Mile High 1
DTSTART;TZID=America/Denver:20240731T154500
DTEND;TZID=America/Denver:20240731T155500
UID:siggraph_SIGGRAPH 2024_sess102_papers_1066@linklings.com
SUMMARY:Practical Error Estimation for Denoised Monte Carlo Image Synthesi
 s
DESCRIPTION:Arthur Firmino (Luxion, Technical University of Denmark); Ravi
  Ramamoorthi (University of California San Diego); Jeppe Revall Frisvad (T
 echnical University of Denmark); and Henrik Wann Jensen (Luxion)\n\nWe pre
 sent a practical error estimation technique for denoised Monte Carlo ray t
 racing, using aggregated estimates of bias and variance to determine the p
 ixel’s squared error distribution. This leads to a novel stopping criterio
 n for denoised Monte Carlo image synthesis, that efficiently terminates re
 ndering once a specified error is achieved.\n\nInterest Area: Research & E
 ducation\n\nRecording: Livestreamed, Recorded\n\nKeyword: Rendering\n\nReg
 istration Category: Full Conference, Full Conference Supporter, Virtual Ac
 cess, Exhibitor Full Conference, Wednesday\n\nSession Chair: Gurprit Singh
  (Max Planck Institute for Informatics)\n\n
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