Intel on Friday released Open Image Denoise 2.2 as the newest version of this open-source denoising library used by Blender and other software.
Open Image Denoise 2.2 boosts the denoising quality for better fine detail reconstruction.
This v2.2 release also adds support for the integrated Arc Graphics found with Intel Core Ultra “Meteor Lake” processors, support for Metal devices on Apple Silicon hardware, AArch64 CPU support under Windows and Linux (complementing the existing macOS support), better CPU denoising performance, enabling the NVIDIA CUDA driver API by default, a crash fix, and other changes.
I’ve already begun benchmarking the new Open Image Denoise 2.2 release given the CPU performance improvements being mentioned.
Those interested in some competitive CPU benchmarks done so far on OIDn 2.2 can find the data here.
Downloads and more details on the Intel Open Image Denoising 2.2 release via GitHub.
The original article contains 151 words, the summary contains 143 words. Saved 5%. I’m a bot and I’m open source!
This is the best summary I could come up with:
Intel on Friday released Open Image Denoise 2.2 as the newest version of this open-source denoising library used by Blender and other software.
Open Image Denoise 2.2 boosts the denoising quality for better fine detail reconstruction.
This v2.2 release also adds support for the integrated Arc Graphics found with Intel Core Ultra “Meteor Lake” processors, support for Metal devices on Apple Silicon hardware, AArch64 CPU support under Windows and Linux (complementing the existing macOS support), better CPU denoising performance, enabling the NVIDIA CUDA driver API by default, a crash fix, and other changes.
I’ve already begun benchmarking the new Open Image Denoise 2.2 release given the CPU performance improvements being mentioned.
Those interested in some competitive CPU benchmarks done so far on OIDn 2.2 can find the data here.
Downloads and more details on the Intel Open Image Denoising 2.2 release via GitHub.
The original article contains 151 words, the summary contains 143 words. Saved 5%. I’m a bot and I’m open source!