July 25, 2022 duyenle

How to apply the denoiser to renders in Redshift for Cinema 4D

As far as we know, noise is one of the problems which can happen during the rendering process. Obviously, it can degrade the quality of the final result. Therefore, we have some ways to resolve this problem. The first one is increasing the number of samples, but that means longer render times. A faster solution is to use denoising instead. Denoising refers to a rendering technique that removes noise from an image. In this article, I will show you how to denoise renders in Redshift for Cinema 4D. Make sure you check which version of Redshift you have. The denoising features that only exist in Redshift version 2.6 and above.

1. Applying the denoiser

To apply the Altus denoiser to your render, open up the Redshift Render Settings, scroll down to Denoise, and in Engine part, we choose Altus Single. Then, we kick off a new render.

In the above picture, you can see the different results between rendering with and without tlhe denoiser. On the right is the denoised frame, and on the left is the original. There is a large amount of noise in the shadow of the original frame, which would be clearly visible in a full animated render. In contrast, it is difficult for us to see any noise on the right frame. The denoiser has done quite a good job of smoothing everything out and making it much cleaner.

2. Denoiser engines

In the first part, I have shown you how to quickly apply the denoiser to your render. Now, I am going to go over a few details regarding to applying the denoiser in Redshift. Under the Engine are three different types of denoiser. However, the Altus Single is the best one. Altus Dual is an older version of Altus Single and will increase your render time. OptiX is a bit good because you can use it interactively in the render view, but it is inconsistent and doesn’t do a good job with animation, so we are just going to stick the Altus Single.

After choosing Altus Single and going down into the Altus options, you will see kc and kf parameters. These settings allow us to control the quality and strength of the denoising effect.

          • kc1 controls high frequency details so these are going to be sharp smaller details in your image
          • kc2 controls the medium frequency detail 
          • kc4 controls the lower frequency detail 
          • kf just controls the overall strength of the denoising effect. So the higher the value, the more denoise you get. The lower the value, the less denoise you get. 

If you have a particularly fine part of the image that does not need a lot of denoising, you bring down the kc1 value to avoid smoothing over any details. In case a large part of the frame requires a lot of denoising, you can turn up the kc4 value and that should apply more denoising strength to that particular part of the frame.

Besides, there is one setting you are going to want to adjust if you are rendering an animation. Go to the Unified Sampling menu and you are going to want to check off the Random noise pattern normally when you render an animation because it helps the noise to remain consistent frame to frame. Therefore, make sure that Random noise pattern is checked off when you’re doing an animation.

So the final thing to consider is that denoising can ruin the image if your sample settings are not set correctly. You can not just have your sample set super low with a super grainy image and expect the denoise effect to just clean everything up. It is difficult to happen. You are going to get this wildly weird smoothing effect over the image; therefore, it is important to remember that you need to set your samples in a way that you clean up about eighty five percent of the noise and then use the denoise effect to clean up that final fifteen percent of the noise in your image 

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iRender – Happy Rendering!



		

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duyenle

As an iRender customer supporter with the attitude of continually acquiring new knowledge, I love to be able to share what I've learned with designers, architects, 3d artists, and technology enthusiasts. I'm also excited to learn new things from you. Let's go on an adventure together.
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