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De-noising is a vital post-processing component of ray-traced images, as it eliminates visual noise generated by too few rays intersecting pixels that make up an image. In an ideal world, a ray should hit every pixel on the screen, but in the real world, computing hasn't advanced enough to do that in reasonable/real-time. Denoising attempts to correct and reconstruct such images. Intel today launched a free Open Image Denoise (OIDN) library for ray-tracing.
Governed by the Apache 2.0 license, OIDN is part of Intel Rendering framework. From the looks of it, the library is CPU-based, and leverages 64-bit x86 CPU (scaling with multi-core and exotic instruction-sets), to de-noise images. Intel says OIDN works on any device with a 64-bit x86 processor (with at least SSE4.2 instruction-set), although it can take advantage of AVX2 and AVX-512 to speed things up by an order of magnitude. The closest (and closed) alternative to OIDN would be NVIDIA's AI De-noiser. NVIDIA "Turing" GPUs use a combination of ad-hoc deep-learning neural networks and GPU compute to de-noise. You can freely access OIDN on Intel's Git.
View at TechPowerUp Main Site
Governed by the Apache 2.0 license, OIDN is part of Intel Rendering framework. From the looks of it, the library is CPU-based, and leverages 64-bit x86 CPU (scaling with multi-core and exotic instruction-sets), to de-noise images. Intel says OIDN works on any device with a 64-bit x86 processor (with at least SSE4.2 instruction-set), although it can take advantage of AVX2 and AVX-512 to speed things up by an order of magnitude. The closest (and closed) alternative to OIDN would be NVIDIA's AI De-noiser. NVIDIA "Turing" GPUs use a combination of ad-hoc deep-learning neural networks and GPU compute to de-noise. You can freely access OIDN on Intel's Git.
View at TechPowerUp Main Site