Intel Open Image Denoiser

This is a simple implementation of Intel’s Open Image AI denoiser. This is essentially an implementation of the example executable provided in the original repository but instead uses OIIO so that a larger variety of image formats are supports. This command line tool works the same as the Nvidia AI denoiser command line tool I made here.

Here are some examples of what it can do,

Original image:

Denoised image:

The code can be found here:

https://github.com/DeclanRussell/IntelOIDenoiser

I have created a windows distribution as well for those who wish to try it out here:

Denoiser_windows_v1.5

Denoiser_windows_v1.4

Denoiser_windows_v1.3

Denoiser_windows_v1.2

Denoiser_windows_v1.1

Denoiser_windows_v1.0

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19 thoughts on “Intel Open Image Denoiser”

  1. Hi Declan,

    I’ve gotten your new Intel-based AI Denoiser to work. This is a 5 pass Blender render before and after applying the denoiser: https://photos.app.goo.gl/a5HiLLeqY6Q4FCvN9

    Your example images above don’t really show how well it works 🙂

    I had hoped I’d see similar results with high ISO photos, but this version of Intel’s Open Image Denoiser doesn’t seem to be trained for that.

    Thanks again,
    Dana

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  3. wow thanks . i tried optiX nvidia batch script from you but it keeps failed cannot load library then tried this one and it reallly works in my i5. from now on i will use this intel denoiser

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  4. Hi Declan, thanks for share your implementation :). I’m wondering if there is an argument to specify the amount of denoise to use? Because I saw the examples and the denoiser looks really nice but I tried and the image still keep with some noise.

    Example:

    I’ve used the bump normals and refraction albedo as additional inputs with 200 repetitions but I don’t know, I suppose that it can look better maybe?

    What do you think? Thanks again, cheers!

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  5. Hi Carlos,
    Sorry for the late reply on this. Unfortunately there isn’t such an option, because the denoiser is based on machine learning its more of a “it works” or “it doesn’t work” type deal. You can improve results by improving the feature buffers that you provide the denoiser. I see you’re using the refraction albedo, why is this? Is the scene looking through some refractive object? I have the feeling that because the albedo is such a different color to the beauty it is throwing off the denoiser.

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    1. Hi Declan, don’t worry. I thought that can be better to denoise only one AOV instead the beauty, here is the Beauty:

      As you can see the frame only have noise in the refraction AOV. So, which can be your advice? Maybe apply some green tint to te refraction albedo? Thanks!

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      1. Hmm I think you need a better albedo. Arnold has a dedicated albedo for denoising that deals with these kinds of things better. Which render engine are you using, does it have light path expressions or just fixed AOVs?

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      3. Ahh boo! I’m not very familiar with Redshift, but ideally you want some kind of albedo. I know they support the OptiX denoiser so perhaps you should ask the guys at Redshift which AOV they use for the albedo for that?

        Or you could use Arnold, but I’m one of the Arnold devs, so I would say that 😛

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      4. Haha yes I have seen your posts in the forum, I can’t wait to go back to Arnold with GPU, right now I have more GPU power than CPU so I left Arnold the last year or more I think, but I always miss him 😂.

        I’m going to investigate more about how can I use this denoiser better as you said, I can’t understand how it works so nice in the examples but here doesn’t. Thanks for your advice and your help Declan :).

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    1. You tell me 🙂
      In my experience the quality of the denoising varies depending on what you give either of the denoisers. Some seem to work better with some scenes than the other. As for performance though, the Nvidia denoiser wins hands down. That thing is rapid!

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  7. Thank you so much for this implementation! Do you think you can upgrade it to Intel’s v1.2.0? They say there’s an improvement in denoising quality

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  8. Hi! Thanks for these tools.
    Can yo please help what exactly I need to add to the batch script in order to utilize albedo and normal AOVs? I currently have beauty, albedo and normal AOV sequences each in separate folder. Creating a .bat file with the basic example that you provided works great, but i suppose these AOVs will give better result 🙂

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  9. Hi, do you plan to update your tool with the last version of the Intel Denoiser? Thanks again for your work. Cheers. Christophe

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