Unbiased and consistent rendering using biased estimators
Zackary Misso, Benedikt Bitterli, Iliyan Georgiev, Wojciech Jarosz
Abstract
We introduce a general framework for transforming biased estimators into unbiased and consistent estimators for the same quantity. We show how several existing unbiased and consistent estimation strategies in rendering are special cases of this framework, and are part of a broader debiasing principle. We provide a recipe for constructing estimators using our generalized framework and demonstrate its applicability by developing novel unbiased forms of transmittance estimation, photon mapping, and finite differences.
Topics & Concepts
EstimatorRendering (computer graphics)DebiasingUnbiased EstimationComputer scienceAlgorithmMathematical optimizationMathematicsStatisticsArtificial intelligenceCognitive sciencePsychologyComputer Graphics and Visualization TechniquesAdvanced Vision and ImagingAdvanced Image Processing Techniques