Presentation

Practical Error Estimation for Denoised Monte Carlo Image Synthesis
DescriptionWe present a practical error estimation technique for denoised Monte Carlo ray tracing, using aggregated estimates of bias and variance to determine the pixel’s squared error distribution. This leads to a novel stopping criterion for denoised Monte Carlo image synthesis, that efficiently terminates rendering once a specified error is achieved.
Event Type
Technical Paper
TimeWednesday, 31 July 20243:45pm - 3:55pm MDT
LocationMile High 1A
Session TimeWednesday, 31 July 20243:45pm - 5:35pm MDT
LocationMile High 1A
Interest Areas
Research & Education
Recordings
Livestreamed
Recorded
Keywords
Rendering
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Exhibitor Full Conference