How To Make Rgb Mattes With Redshift Using Puzzle Matte Aovs

Redshift can be a full-on production style renderer, spit out AOV’s that you would need for compositing and other tasks. Most of these are built using its puzzle matte system which allows the user to mask parts from one frame in order give them individual adjustments or if there is more than one object then it will affect each individually at different rates so they don’t clash together during post processing like what happens when adjusting an NLSL without per material masks set up correctly because everything gets averaged together creating unwanted noise patterns on top of your final composite!

Redshift lets you assign ID’s to object or materials. Why is that important? Well, it can be useful when multiple objects are sampled at once and need their own color! However because each pixel needs an individual value for Red Green Blue (or Alpha) channel contributions from different sources this sometimes causes antialiasing issues with less capable GPUs because there could potentially be more than one contaminant sample per pixel drawing on screen simultaneously – leading us back into confusion territory as far what exactly where all those pixels came from in the first place…

The Puzzle Mattes hold per-pixel contributions for object and material ID’s on separate RGB channels. This means that the same pixel cam basically mix contributions from other objects, with no artifacts when DOF (depth of field) motion blur is used!

In this tutorial, you will learn how to make a Puzzle Matte for compositing using the Redshift AOV. Mattes are used in post production and video editing as an element of composite photography or motion graphics work on movies like Inception where they serve to layer objects together while leaving areas out that should not be transparently visible when seen up close (such depiction).

The Vertex Library has shared one way we can use their latest posting: creating something called “puzzle mattes.” This type of shot requires multiple exposures …

https://youtu.be/qs_YxmrCvAI