Save Rendering Time & Increase Image Quality with a Free Open Source Library

Graphics developers routinely face a trade-off when using ray tracing to create realistic, immersive experiences. They either allow for the hours (and hours) it takes to render high-quality images or use denoising methods to produce less than high-quality images, but do it a lot faster.

Intel® Open Image Denoise can remove this dilemma.

It’s an open source library of high-performance, high-quality, machine learning-based denoising filters for images rendered with ray tracing. As part of the Intel® oneAPI Rendering Toolkit, this library is suitable for both interactive and final-frame rendering, runs on almost any Intel® CPU, and significantly reduces rendering times.

It’s also completely free.

Join graphics software engineer Attila Afra for a detailed session that includes:

• The importance and impact of denoising when rendering images with ray tracing
• How Intel Open Image Denoise achieves high-quality denoising using machine learning (hint: it filters out the Monte Carlo noise)
• How to use the simple, flexible C and C++ API to integrate denoising into existing renderers in hours or even minutes
• Training the denoising neural networks yourself to achieve even higher quality for your renderer or implement custom filters

Get Intel® Open Image Denoise as part of the Intel® oneAPI Rendering Toolkit—five free libraries for developing photorealistic applications.

Attila Afra
Graphics software engineer, Intel Corporation

Attila Áfra leads development of the Intel® Open Image Denoise library, and also works on the Intel® Embree ray tracing kernel library and the Intel® OSPRay ray-tracing engine. He joined Intel in 2015 and his research interests include rendering, image processing, and parallel programming. Attila holds a BS degree and an MS degree in computer science, and completed his PhD in computer graphics (specifically on high-performance ray tracing methods for CPUs) at Babes-Bolyai University in Cluj-Napoca, Romania.