Understanding Redshift’s Unified Sampler for Cleaning Up Noise

Unified Sampler? I’ve mentioned that rendering can get pretty technical. If you have ever tried to understand how rendering engines will determine sampling, you will know what i mean. Getting rid of the noise in an image becomes imperative, because render times will always meet up against a deadline.

This tutorial will cover Redshifts Unified Sampling \ Adaptive Sampling system and how to optimize it to increase render speeds and reduce noise

Sampling is a method for cleaning up noisy renders. A rendering engine will shoot out rays out of each pixel. The number of rays will dictate the results. Noise, grain, or jagged edges are all a factor of sampling.

Redshift uses an adaptive unified sampler to fire rays with some intent throughout the scene. It essentially looks through parts of the image to determine parts that are noisy, and then adjusts the number of primary rays to fix it.

Saul Espinosa walks us through the “how”and the “why” covering Redshift’s unified sampler and adaptive sampling engines to reduce noise. Saul really gives an in depth look into unified sampling with some practical examples of how to use it effectively in different scenarios. Great stuff here!