This means that there will be differences between the original RGB image and the one reconstructed from render elements that are denoised with the NVIDIA AI denoiser. For example, the NVIDIA AI denoiser performs the denoising faster but is not consistent when denoising render elements. This means that rendering on the CPU will still require an NVIDIA GPU for denoising with the NVIDIA AI denoiser and has some advantages and drawbacks compared to the Default V-Ray Denoiser. The NVIDIA AI denoiser requires an NVIDIA GPU to work, regardless of whether the actual rendering was performed on the CPU or GPU. NVIDIA AI – V-Ray's integration of NVIDIA's AI-based denoising algorithm. In addition, it comes with a Denoiser Tool, which is recommended for denoising animation by using frame blending. This means that it is recommended for denoising the render elements to be used for compositing back the beauty image. It is consistent when denoising render elements, as it applies the same denoising operator to all render channels. It can utilize the CPU or the GPU (AMD or NVIDIA GPUs) to perform the denoising. Each offers a different denoising algorithm that comes with different benefits. VRayDenoiser offers a choice between the default V-Ray denoiser, the NVIDIA AI denoiser and the Intel Open Image denoiser (V-Ray's implementation of the Intel® Open Image Denoise).
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