Presentation

Forget Superresolution, Sample Adaptively (when Path Tracing)
DescriptionWe introduce an end-to-end adaptive sampling and denoising pipeline for sparse real-time path tracing. Our method trains stably despite discrete sampling decisions and uses perceptual, tonemapping-aware optimization to place samples where they matter most. It samples fine structures, specular highlights, shadows, producing more detailed reconstructions than superresolution or uniform sampling.
Event Type
Technical Paper
TimeWednesday, 22 July 20269:50am - 10:00am PDT
LocationRoom 408 A
Digital Library PDF
Session Time & Location
Sunday, 19 July 20266:00pm - 8:45pm PDTHall K
Wednesday, 22 July 20269:00am - 10:30am PDTRoom 408 A
Keywords
Artificial Intelligence/Machine Learning
Rendering
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