Octane AI denoiser - initial tests, results and next steps

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Re: Octane AI denoiser - initial tests, results and next steps

Postby Goldorak » Wed Jul 19, 2017 3:27 pm

3dworks wrote:can't wait for its release, hopefully it can be integrated well into plugins? will it work with networked GPU's?


We plan to just make it part of Octane itself (both local/cloud) once it's done. It will work through the Octane imager module system, which will include 1st party modules like this one shipping in all OR plug-ins.
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Re: Octane AI denoiser - initial tests, results and next steps

Postby pegot » Wed Jul 19, 2017 7:36 pm

Is that a different denoiser than what we currently have or an enhancement to the existing system?
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Re: Octane AI denoiser - initial tests, results and next steps

Postby Goldorak » Wed Jul 19, 2017 9:43 pm

pegot wrote:Is that a different denoiser than what we currently have or an enhancement to the existing system?


Totally novel. Used machine learning.
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Re: Octane AI denoiser - initial tests, results and next steps

Postby calus » Fri Jul 21, 2017 2:30 pm

Goldorak wrote:We plan to just make it part of Octane itself (both local/cloud) once it's done. It will work through the Octane imager module system, which will include 1st party modules like this one shipping in all OR plug-ins.


Did Octane devs also investigated on the AI driven Adaptive sampling ?
Post-process denoising is not good for all production.
Can't the AI denoising feature also be used to produce a better noise map to drive adaptive sampling (instead of post process denoising) ?
It could bring to Octane better adaptive sampling a lot more efficient and less user input dependent...

Maybe the ultimate solution is to combine both AI driven Adaptive sampling and AI de-noising.
It seems to be the way Nvidia's Ai denoiser was implemented in IRAY:
"This isn’t just for interactive rendering at artist workstations, as a fully converged noiseless final frame renders is about four times faster; if a final render took an hour before, with the new AI it will take approximately 15 minutes."
https://www.fxphd.com/blog/whats-the-st ... w-iray-ai/
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Re: Octane AI denoiser - initial tests, results and next steps

Postby Goldorak » Sat Jul 22, 2017 2:38 am

calus wrote:
Goldorak wrote:We plan to just make it part of Octane itself (both local/cloud) once it's done. It will work through the Octane imager module system, which will include 1st party modules like this one shipping in all OR plug-ins.


Did Octane devs also investigated on the AI driven Adaptive sampling ?
Post-process denoising is not good for all production.
Can't the AI denoising feature also be used to produce a better noise map to drive adaptive sampling (instead of post process denoising) ?
It could bring to Octane better adaptive sampling a lot more efficient and less user input dependent...

Maybe the ultimate solution is to combine both AI driven Adaptive sampling and AI de-noising.
It seems to be the way Nvidia's Ai denoiser was implemented in IRAY:
"This isn’t just for interactive rendering at artist workstations, as a fully converged noiseless final frame renders is about four times faster; if a final render took an hour before, with the new AI it will take approximately 15 minutes."
https://www.fxphd.com/blog/whats-the-st ... w-iray-ai/


We're choosing to start with AI denoising in this way first for several reasons, but it is all possible on top of this and we're looking into all of it.
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Re: Octane AI denoiser - initial tests, results and next steps

Postby swipswap » Tue Aug 22, 2017 12:48 pm

Will this have an increased rendering speed on motion blurred areas or areas with heavy light scattering?
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