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Denoiser 2 cuda
Denoiser 2 cuda





I’d love to give this a try but I get this error. Is this making sense? However to learn on its own how would it know if what its producing is the correct result? When you give it a new before result it can use its training data to try to match a before and produce the expected after result on its own. I’m not sure how that would work anyway as you essentially train AI by giving it a big data set of before and after results. That would be sweet but sadly no its pre-trained. >Does this AI learns while working? Is such an option even possible – switching to learn mode? So if you happen to have a couple of thousand image pairs lying around to train it with I would be interested in the results 😉 OptiX actually ships with tools to create your own training data which is really interesting and could improve results if it were trained with images from the same renderer you’re denoising with. As to the exact training set they used I do not have any information on. The training data this uses is the shipped training data from Nvidia which was trained with Iray. >i wish i would know more about specifications and statistics, what kind of data was this denoiser fed with… If so then perhaps its just a limitation.

denoiser 2 cuda

This should improve preserving the colour a lot better than just giving it the beauty alone. do they have padding like, etc…Īre you supplying normal and albedo inputs with the “-n” and “-a” flags. It would be useful to know how the numbers in your images are formatted i.e. I think I could whip one up pretty quickly as a short term work around.

denoiser 2 cuda

It would probably be pretty easy to setup with a batch script.

denoiser 2 cuda

> but… if you might know, how the batch script should look like or have a link to a site, it would mean a lot to me… No problem, if people are enjoying and making use of it then it makes it worth while 🙂







Denoiser 2 cuda