1. [Publications](/publications)
2. Unbiased and consistent rendering using biased estimators
 
 # Unbiased and consistent rendering using biased estimators

  ![](/sites/default/files/styles/wide/public/publications/debiased-transmittance.png?itok=ZqWznq9F)

 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.



 ## Authors



Zackary Misso (Dartmouth College)

[Benedikt Bitterli](/person/benedikt-bitterli)

Iliyan Georgiev (Autodesk)

Wojciech Jarosz (Dartmouth College)

 

 

 ## Publication Date



Sunday, July 24, 2022

 

 ## Published in



[ACM Transactions on Graphics (SIGGRAPH 2022)](https://s2022.siggraph.org/)

 

 ## Research Area



[Algorithms and Numerical Methods](/research-area/algorithms)

[Computer Graphics](/research-area/computer-graphics)

 

 

 ## Uploaded Files



[Paper Preprint](https://d1qx31qr3h6wln.cloudfront.net/publications/Debiasing_rendering_algorithms_preprint_1.pdf "Open file in new window")17.07 MB

 

 

 ## Copyright



© 2022 Copyright held by the owner/author(s). Publication rights licensed to ACM.