Presentation / Installation


Neural Parametric Mixtures for Path Guiding
SessionNeural Light Transport
DescriptionWe present Neural Parametric Mixtures (NPM), a neural formulation to encode target distributions for path guiding. NPM uses a continuous and compact representation for encoding parametric distributions and decodes them via lightweight MLPs. Gradient-based optimization strategy can efficiently train NPM while being practical for parallelization on GPUs.
Authors
Honghao Dong
Peking University
Guoping Wang
Peking University
Sheng Li
Peking University
Event Type
Technical Paper
TimeTuesday, 8 August 20232:22pm - 2:32pm PDT
LocationRoom 502 AB
ACM Digital Library Technical Paper PDF
Session Time & Location
Sunday, 6 August 20236pm - 8:30pm PDTWest Hall B
Tuesday, 8 August 20232pm - 3:30pm PDTRoom 502 AB
Interest Areas
Research & Education
Recordings
Livestreamed
Recorded
Keywords
Rendering
Registration Categories
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Focal Path Guiding for Light Transport Simulation