Intel Open Image Denoise will deliver the same highest-fidelity results on those GPUs and future Xe GPUs as are currently delivered using Intel CPUs. Xe HPG microarchitecture-based Alchemist GPUs, formerly known as DG2, will appear in products in the first quarter of 2022. Is there an estimated timeframe on when Xe GPUs will be delivered to the market? Does that mean Open Image Denoiser works on CPU as well as GPU cores? Or will it be limited only to Xe GPU cores? See these references for more details: Bentley Motors Shares How Intel Accelerates its Car Configurator | Demo Bentley has rendered over 1.7 million images, delivering over 1 billion options to customers for each vehicle Bentley offers, in a cost efficient and optimized process. Bentley’s car configuration solution was optimized by Intel OSPRay, Intel Open Image Denoise and Intel Embree, all part of the Intel oneAPI Rendering Toolkit. Intel’s oneAPI Rendering Toolkit has been utilized by the Bentley Motors to digitize its interior and exterior design options. How is Open Image Denoise relevant to these usages? Then the question becomes, “how fast on a CPU or GPU can you make this high-quality implementation run?” Intel’s perspective is, Image Fidelity is King and we will work hard to make it fast for a plethora of use cases from final frame rendering for movies, to real-time rendering for games.ĭE readers are primarily CAD users who might use rendering to create realistic product shots (for example, using digital images for marketing and design review in automotive). Intel Open Image Denoise is implemented for Quality First, speed next. However, across vendor implementations you can generally create shortcuts that would make denoising faster, but lower quality. If you set a max-time allocation for denoising, you may make a design decision that limits visual quality. In most cases for AI-based denoising using Intel Open Image Denoise, the AI-denoising capabilities are software-based so the improvements come from the software optimizations regardless of hardware used. Image courtesy of Evermotion “15th Anniversary Collection.”Īre there specific types of denoising functions (or specific types of models) in which the CPU-based denoising approach works better than the GPU-based approach? Or vice versa? To understand Intel's strategy, we speak to Jim Jeffers, Intel’s Senior Director and Senior Principal Engineer of Advanced Rendering and Visualization Architecture.Ĭabin exterior, rendered with AI-based Intel Open Image Denoise. (For more, read about Intel Larrabee.) The latest campaign centers on Intel's upcoming Xe GPUs. The CPU maker has made numerous attempts to jostle its way into the GPU-dominated rendering segment. ![]() Intel Open Image Denoise is part of the Intel oneAPI Rendering Toolkit and is released under the permissive Apache 2.0 license,” according to Intel's announcement. The technology consists of “an open source library of high-performance, high-quality denoising filters for images rendered with ray tracing. Open Image Denoise was originally released at SIGGRAPH in 2018. It's also bringing its AI-based Open Image Denoise to upcoming GPUs.Īt SIGGRAPH 2021 virtual, CPU maker Intel announces Intel Open Image Denoise is set for integration with Arnold, a leading raytraced renderer by Autodesk. And Intel has been taking the same approach with CPUs. When you have done everything you can to speed up rendering on the computing cores, what else can you do? The two GPU makers, NVIDIA and AMD, both turned to machine learning, or AI.
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