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Jackknife Transmittance and MIS Weight Estimation

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Christoph Peters

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Jackknife Transmittance and MIS Weight Estimation is a SIGGRAPH Asia 2025 paper by Christoph Peters, published in ACM Transactions on Graphics and summarized on the Moments in Graphics project page.

It covers Monte Carlo volume transmittance estimation, bias from naive exp(-tau) after optical-depth estimates, and a lower-bias jackknife-style estimator that uses two stratified ray-marching samples under a near-normal assumption. It also discusses variance-aware importance sampling and integrators that combine MIS with biased or unbiased transmittance weight handling for SIMD-friendly costs.

It is for advanced rendering researchers and volume-path-tracing engineers who already work with optical depth, transmittance estimators, and multiple importance sampling. Comfort with Monte Carlo bias and variance trade-offs is expected.

Access is a free author page with abstract, supplemental interactive results, and notes pointing to the ACM TOG proceedings version for SIGGRAPH Asia 2025.

It is useful as a compact entry point into recent transmittance and MIS-weight estimation ideas before reading the full paper PDF. Link last verified accessible on 2026-09-29. Link last verified accessible on 2026-09-28.