Thus it is suitable for both preview and final frame rendering. A simple but flexible C/C++ API ensures that the library can be easily integrated into most existing or new rendering solutions.Īt the heart of the Intel Open Image Denoise library is a collection of efficient deep learning based denoising filters, which were trained to handle a wide range of samples per pixel (spp), from 1 spp to almost fully converged. It filters out the Monte Carlo noise inherent to stochastic ray tracing methods like path tracing, reducing the amount of necessary samples per pixel by even multiple orders of magnitude (depending on the desired closeness to the ground truth). The purpose of Intel Open Image Denoise is to provide an open, high-quality, efficient, and easy-to-use denoising library that allows one to significantly reduce rendering times in ray tracing based rendering applications. Intel Open Image Denoise is part of the Intel® oneAPI Rendering Toolkit and is released under the permissive Apache 2.0 license. Intel Open Image Denoise is an open source library of high-performance, high-quality denoising filters for images rendered with ray tracing. Hover over the image (or tap on it) to move the slider between the original and denoised versions.
Publicly available dataset courtesy of Walt Disney Animation Studios.
Moana Island Scene rendered at 8 samples per pixel with Intel® OSPRay and denoised with Intel® Open Image Denoise using prefiltered albedo and normal buffers.
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