OCTANE RENDER 4 DOCUMENTATION HOW TO
OCTANE RENDER 4 DOCUMENTATION UPDATE

Now let's increase the number of samples. Of course AI Denoiser has worked, but there is not enough data to be able to do the job properly.

And much worse is that the details are lost. Because, as you can see in the picture below, the splotchy effects all over in the Denoised image (on the right). First of all, if you have the idea that 'there is such a technology under my hand, and now I can use low sample, turn on AI denoiser and get short render times and quality outputs', we recommend you to be careful. Now let's try to reach the 'TARGET RENDER' using AI Denoiser with less rendering time. The picture you see on the left is fine, but it is not enough for the final output. The result you see on the right is almost noise-free. According to this method, the scene shown in the picture below requires a higher number of samples to achieve a quality result. A method we used for years before the AI Denoiser. So you'll know better the use of AI Denoiser without losing quality, speed and details. Therefore, it may be appropriate to briefly explain the relationship between the number of samples and AI Denoiser. However, the quality and aesthetics ratio is not AI but your point of view determines. For example, if you are planning to open one of your old scenes and get a fast render with AI Denoiser, this happens to some extent. Some of these outputs may disappoint you if you don't know what you're doing.

Yes it's a revolutionary innovation but different output may appear in each scenario (or scene). If you want to see the synchronous work of Denoiser with Main, you can close 'Denoise on Completion'. But after the main rendering is finished, the Denoiser process starts and you see the result. If you have activated the 'Denoise on Completion' option, AI Denoiser does not progress during the rendering in the Demain view. The 'DeMain' button shows the Denoised Render. The 'Main' button shows the active render. After all, they both do the same job.ДЄfter activating AI Denoiser, you will see two buttons named 'Main' and 'DeMain' at the bottom left of LV.

However, you can choose one of these two ways. We will make our explanations via Tag option. Here you will see the 'Denoiser Tab' right below.Дў- Click the Octane Camera Tag, go to the camera imager tab and enable the Denoiser below.

OCTANE RENDER 4 DOCUMENTATION UPDATE

This is why you will benefit from a new generation GPU.ДЈ- If you have stability problems while working with AI Denoiser, you can try update your Nvidia drivers.ДЎ- Press the 'Settings' icon from the Live Viewer and go to 'Camera Imager Tab'. By its very nature, it requires a lot of processing power to deal with any scene. If you have more than one GPU and you want to use other GPUs for Denoise, you can activate it here.Дў- AI Denoiser needs to use a lot of VRAM and GPU power. If you have a single GPU, it can be automatically activated.

OCTANE RENDER 4 DOCUMENTATION HOW TO

Let's put aside whether this is going to be good or bad, and how to use AI Denoiser.ДЇirst, Keep in mind for following rules to use AI Denoiser:ДЎ- The first action you will make to use Denoiser is to go to the Live Viewer/Settings/Devices section and activate the 'Use for Denoising' option on your GPU device(s). They are no longer blind and know what part is dark or bright. Now an AI can now recognize tables, chairs or other objects in a picture and separate them from each other because of the 'Large Data Sets Training'. This the revolutionary side of this subject. The information we have accumulated throughout history is now classified as 'Big Data' and finally we have reached the stage of teaching machines of this 'Big Data' by using our fast computer technology. AI Denoisers are trained with 'Large Data Sets' and if the result is 'expected' it is assumed to be true. In case of Deep Learning, the background algorithm works far beyond the classical linear algorithm. Although there are many products used in the market as Denoiser, we should not to confuse 'Spectral AI Denoiser' with classical denoisers. The use of AI Denoiser in Octane is not as difficult and complicated as it is thought, and the results are quite amazing. Since AI Denoiser or its broader definition 'Deep Machine Learning' is a very complicated subject, our recommendation is to read the resources on the Internet and get an idea. This new technology, which is the result of the 'Big Data' era, is now ready to use and has begun to show itself in the latest products as in Octane. No longer need to think of for long rendering times and plenty of noise. AI Denoiser, a by-product of Machine Deep Learning, which has been researched and developed for years, seems to be taking us to the future already. Although the Octane version 4 comes with many innovations, the most exciting of these innovations is no doubt the 'Spectral AI Denoiser'.

Octane render 4 documentation