Estimates per-pixel variance from the temporal history and drives the spatial filter width from it, so converged regions stay sharp while noisy ones are blurred hard.
supersedescorrects · extends
classifiesspecializes · part-of
substitutes forapproximates · alternative-to
depends onrequires · validates
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extendsadds capability to A-Trous Wavelet Filterdrives filter width from measured variance
requiresdoes not work without Temporal Reprojectionthe variance estimate comes from accumulated history
Referenced by
alternative-toLearned Denoising is a competing approach to thislearns the filter from data instead of hand-tuned weights
References
Spatiotemporal Variance-Guided Filtering: Real-Time Reconstruction for Path-Traced Global Illumination — Schied et al. — 2017