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Thread: New Open-Source Denoiser by Intel

  1. #1
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    New Open-Source Denoiser by Intel

    ntel has revealed a new open source image denoiser called Open Image Denoise which is available under an Apache 2.0 license. It is said to feature several “high-performance, high-quality denoising filters for images rendered with ray tracing.”
    https://80.lv/articles/new-open-sour...X9jyAhmglfkYF8
    This message does not reflect the opinions of the US Government, CG Networks or CGTALK.com. The opinions expressed on this posting are on my own volition.

  2. #2


    interesting tech...

    how does it compare to Nvidia...


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  3. #3
    obfuscated SDK hacker Lightwolf's Avatar
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    Didn't Denis release that as an image filter for LW a few months ago?

    Cheers,
    Mike

  4. #4
    Founding member raymondtrace's Avatar
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    LW7.5D, 2015, 2018, 2019 running portably on a USB drive on an Amiga 2500 running Wine.

  5. #5

    Awesome! Thanks!  didn't catch that...  

    https://forums.newtek.com/showthread...-for-DP-Filter
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  6. #6
    This is built into the 2.81 build of Blender as a compositing node.

    https://evermotion.org/tutorials/sho...n-blender-2-81

  7. #7

    yup.
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  8. #8
    Founding member raymondtrace's Avatar
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    I need to look to the top of this web page to remind myself which software forum I am viewing.

    Quote Originally Posted by hrgiger View Post
    This is built into the 2.81 build of Blender as a compositing node.
    Did you submit a feature request to NewTek to do the same?

    Are you offering commentary on how 2.81 compares to Denis' existing 3rd-party integration with LW?
    LW7.5D, 2015, 2018, 2019 running portably on a USB drive on an Amiga 2500 running Wine.

  9. #9
    I haven't used Denis's. Id be curious to know though if it also allows for plugging in the color and the normal channel to help the denoising.

    Click image for larger version. 

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    This is a test using 2.81 on a rendered frame with 8 samples.
    Attached Thumbnails Attached Thumbnails Click image for larger version. 

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  10. #10
    Founding member raymondtrace's Avatar
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    It is a LW node. You can plug it into anything.
    LW7.5D, 2015, 2018, 2019 running portably on a USB drive on an Amiga 2500 running Wine.

  11. #11

    It is a LW node. You can plug it into anything.
    Awesome!
    Feature Request; GPU support, maybe i can cancel AppX for rendering.



    that said, a poll >
    https://forums.newtek.com/showthread...port-Rendering
    Last edited by erikals; 08-23-2019 at 04:34 PM.
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  12. #12
    Quote Originally Posted by raymondtrace View Post
    It is a LW node. You can plug it into anything.
    Well that's not really what I meant. Of course its a node from DPont.
    if you look at that article I mentioned about the implementation in Blender, you'll see they first simply plug in the denoiser and get an 'ok' result. But in the render settings for render passes, you can turn on denoising outputs/buffers so that you can plug those denoising channels (normal and color) and improve the data sent into the denoiser so that it will give a better result. I was asking if Dponts provides a means to plug in the color or normal channels for instance to feed the denoiser node more info.

  13. #13

    should work.
    https://forums.newtek.com/attachment...8&d=1553764217

    however, if it provides the same result, not sure.

    might be answered here >
    https://forums.newtek.com/showthread...P-Filter/page3
    Last edited by erikals; 08-23-2019 at 04:40 PM.
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  14. #14
    Ok thanks for the link Erik, looks like it does make use of the color and normal channels.
    I'd be curious to see them on a similar scene.
    The one in Blender has quite a few additional options I will have to look into. It's only been available for a short while and won't be officially released until 2.81 sometime in November.

    Click image for larger version. 

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  15. #15
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    Funny how the Lightwave forum slowly becomes a tutorial forum for Blender

    Anyway, the filter has only a couple of useful inputs. Denis has implemented all of them in a very clear and straightforward way I may add. To really understand the filer, please read the documentation that came with from the creators of the filter in the first place. That helped me understand the principles quite a bit.

    https://openimagedenoise.github.io/documentation.html

    Here you can see what inputs there are available and what they do and what kind of data they accept.

    Ultimately you can even use the denoiser as a standalone tool (for when you don't trust the implemented nodes and want to see if it is actually working). Did that in the beginning and my findings are that the Denis's filter works perfectly.
    The key for getting better denoised images is, ironically, using more camera samples... That is the main parameter that has a a lot of influence on the end result.

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