<div dir="ltr">Hi there,<div><br></div><div>This denoising technique is most likely based on the papers by Rousselle et al., for instance <i>Robust Denoising using Feature and Color Information</i> (Pacific Graphics 2013). It works quite well (I have work on an implementation that is not Innobright's). It doesn't have to be tied to any specific renderer, just needs the beauty image do be denoised, some feature aovs and an estimation of their variance. So, imho it could be made into a node independent from the renderer.</div><div><br></div><div>JM</div><div><br></div></div><br><div class="gmail_quote"><div dir="ltr">On Thu, 11 Feb 2016 at 18:21 <a href="mailto:x3108@chello.at">x3108@chello.at</a> <<a href="mailto:x3108@chello.at">x3108@chello.at</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Hi,<br>
<br>
i stumbled across IMO a great technique to denoise trough MC variance. It is pretty simple. Its from Innobright.<br>
Now i don’t know the legalities, but it looks pretty simple, some AOVs and a MC variance filter. Could be implemented in GPL ?<br>
Also would this be only a node necessarily (still cool) or could this be a renderer feature (more elegant) getting it straight of the renderer ? Lets say, shooting 2x 128samples and variance filter them in GPU RAM without saving 2 images. Like i see it, it is pretty powerful.<br>
Your thoughts on this guys?<br>
<br>
Many thanks,<br>
enilnacs<br>
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