Is very fast and can be used in interactive rendering while editing the scene Uses production-proven algorithms so results can be more predictableĭenoising takes several seconds to compute so it's not possible to use in an interactive fashion OptiX pros and cons On the other hand, NVidia's OptiX AI denoiser uses a deep learning algorithm that has been trained with tens of thousands of images.Įach of these two denoising solution has pros and cons: Altus pros and cons Innobright's Altus uses a traditional and production-proven techniques to achieve its denoising effect. Redshift supports two different denoisers: Innobright's Altus and NVidia's OptiX AI denoiser. In both cases, though, it should take less time than what Redshift would need to render the scene if samples were significantly higher. The process can be fast (in the case of NVidia's OptiX, it's near real-time) or can take a good few seconds. "Denoising" refers to a rendering technique that removes noise from an image. The typical solution to this is increasing the number of samples (as explained here), but that means longer render times.Īn alternative (and faster) solution is to use denoising instead. If a low number of rays ("samples") are shot, the final result can appear noisy ('grainy'). Rendering effects like depth of field, motion blur, global illumination, area lighting and others require the renderer to shoot multiple rays into the scene.
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