oidn
IntelĀ® Open Image Denoise library (by OpenImageDenoise)
NvidiaAIDenoiser
A simple implementation of Nvidia's AI denoiser (by DeclanRussell)
Our great sponsors
oidn | NvidiaAIDenoiser | |
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10 | 5 | |
1,671 | 372 | |
2.6% | - | |
9.3 | 0.0 | |
13 days ago | over 1 year ago | |
C++ | C++ | |
Apache License 2.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
oidn
Posts with mentions or reviews of oidn.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-15.
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Bazel as an alternative to CMake
For instance, try to build this project: https://github.com/OpenImageDenoise/oidn - it uses CMake. It will take you some time to build it - since you need first to figure out its dependencies and how to install them - if you have no idea of its dependencies it might take you a few days to figure out how to build it for your platfom. I call this the Build Problem - this is the struggle to build something.
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I have 3090 GPU and I have tried optix denoiser but openimage denioiser is better?
At 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. Thus it is suitable for both preview and final frame rendering.
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Intel Open Image Denoiser is significantly better than NVIDIA's GPU-based OptiX in Blender cycles (3.2.1). Curious if OID might get Intel ARC GPU acceleration for increased speed.
IntelĀ® Open Image Denoise
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Any idea on how to get rid of the noise in the face? I put more samples and doubled rendering time but still get the noise.
IntelDenoiser
- Intel has been doing ray tracing before Nvidia and AMD, this should give you an idea on how Arc GPUs will tackle ray tracing
- Anyone know any good Image Denoisers?
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Intel oneDNN 2.5 released with experimental RISC-V support
Hooray! Now to wait for OIDN to upgrade to this version of oneDNN.
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CPU Path Traced Rendering in Avoyd (now released)
Results from low ray-count path tracing can be fairly noisy, especially with reflections and emissive materials, so I'm using Intel Open Image Denoise. The download for this at 45Mb is over 5x larger than our Avoyd installer, so we don't distribute it but instead link to it as a plugin the user can install. Adding documentation for this was fairly easy using our open sourced imgui_markdown.h.
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I finally got around to putting a denoiser in my ray-tracer. I'm happy with the results, 100 samples per pixel, about 30 seconds to render on the CPU
It was this one: https://www.openimagedenoise.org/
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Got a nice render out of my hobby path tracer :)
Thanks! It's all done on the CPU, yep. It took about ~40 minutes to render this, but I probably took way more samples than I actually needed to. I did later decide to denoise it using the Open Image Denoiser (https://github.com/OpenImageDenoise/oidn), which made it look quite a bit better, but I'm not sure where the aliasing along the mirror edge came from.
NvidiaAIDenoiser
Posts with mentions or reviews of NvidiaAIDenoiser.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-15.
- Render Settings
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Optix Denoising of Baked Textures solution
Ok, NO I can't find a way of using ANY denoising directly from Blender when doing a bake. However, I DID find a command line tool that will use my Nvidia GPU to denoise my baked textures using Optix and the textures look GREAT!!! The tool is here: https://github.com/DeclanRussell/NvidiaAIDenoiser I found it mentioned here: https://www.reddit.com/r/chunky/comments/a0o15p/this_simple_aibased_denoiser_tool_for_nvidia_gpus/
- Trying to improve my photorealism, any tips are welcome!
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Any idea on how to get rid of the noise in the face? I put more samples and doubled rendering time but still get the noise.
NvidiaDenoiser
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Artifacts Using Ai Denoiser How To Make It Work
The denoiser: https://github.com/DeclanRussell/NvidiaAIDenoiser
What are some alternatives?
When comparing oidn and NvidiaAIDenoiser you can also consider the following projects:
imgui_markdown - Markdown for Dear ImGui
enkiTS - A permissively licensed C and C++ Task Scheduler for creating parallel programs. Requires C++11 support.
oneDNN - oneAPI Deep Neural Network Library (oneDNN)
muon - A subatomic path tracer.