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2. Fast Procedural Noise By Stochastic Sampling
 
 # Fast Procedural Noise By Stochastic Sampling

  ![](/sites/default/files/styles/wide/public/publications/Screenshot%202023-07-13%20172830.png?itok=rMyV0Tdg)

 Procedural noise functions are widely used in computer graphics as a way to add texture detail to surfaces and volumes. Many noise functions are based on weighted sums that can be expressed in terms of random variables, which makes it possible to compute Monte Carlo estimates of their values at lower cost. Such stochastic noise functions fit naturally into many Monte Carlo estimators already used in rendering. Leveraging the dense image-plane sampling in modern path tracing renderers, we show that stochastic evaluation allows the use of procedural noise at a fraction of its full cost with little additional error.



 ## Authors



Marcos Fajardo (Shiokara–Engawa Research)

[Matt Pharr](/person/matt-pharr)

 

 

 ## Publication Date



Thursday, June 1, 2023

 

 ## Published in



[Eurographics Symposium on Rendering](https://diglib.eg.org/handle/10.2312/sr20231141)

 

 ## Research Area



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

 

 

 ## External Links



[Eurographics Symposium on Rendering](https://diglib.eg.org/handle/10.2312/sr20231141)

 

 

 ## Uploaded Files



[131-137.pdf](https://d1qx31qr3h6wln.cloudfront.net/publications/131-137.pdf "Open file in new window")10.32 MB

 

 

 ## Copyright



Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than Eurographics must be honored.