Optix Denoiser Download

[Bartley Trowbridge]

OptiX8 includes an AI-accelerated denoiser based on a paper published by NVIDIA research "Interactive Reconstruction of Monte Carlo Image Sequences using a Recurrent Denoising Autoencoder". It uses GPU-accelerated artificial intelligence to dramatically reduce the time to render a high fidelity image that is visually noiseless. This provides ultra-fast interactive feedback to artists, allowing them to iterate their creative decisions more quickly and achieve their final product much faster.

Thea Render is a physically-based global illumination renderer of high quality. It is a unique renderer that is able to render using state-of-the-art techniques in biased photorealistic, unbiased and GPU modes. Thea Render comes with its own standalone application (Studio) with various tools, material editor and advanced staging operations along with integration (plugins) on various popular modeling solutions.

Arnold is an advanced Monte Carlo ray tracing renderer. It is designed for artists and built for the demands of modern animation and visual effects production. It is available as a standalone renderer on Linux, Windows and Mac OS X, with plug-ins for Maya, 3ds Max, Houdini, Cinema 4D, and Katana. With an integrated OptiX denoiser, Arnold takes advantage of NVIDIA AI tech for accelerated interactive rendering.

The OptiX Denoiser is an invaluable option for interactive workflows in Arnold. The artist can create and move around geometry and lights and get immediate noise-free visual feedback, even for challenging rendering scenarios.

Chaos is a worldwide leader in computer graphics. They create the technology that helps artists and designers create photoreal imagery and animation for design, television, and feature films. Their physically-based rendering and simulation software is used daily by top design studios, architectural firms, advertising agencies, and visual effects companies around the globe. Their research and development in cloud rendering, material scanning, and virtual reality is shaping the future of creative storytelling and digital design.

NVIDIA Iray employs OptiX technology for optimal performance in both its path tracing and ray tracing render modes. Iray is a state of the art, yet easy to use, photorealistic rendering solution provided as an SDK for seamless integration into custom tools and within industry-leading products from the likes of Dassault Systemes and Siemens PLM.

Pixar Animation Studio's new material editing tool "Flow" enables their artists to interactively edit rich, complex shading networks. Flow provides live real-time feedback with full, multi-bounce progressive ray tracing using OptiX.

Redshift Rendering Technologies Inc was founded in early 2012 in Newport Beach, California with the goal of developing a production-quality, GPU-accelerated renderer with support for the biased global illumination techniques that until now have remained squarely in the CPU-only domain.

Houdini is a 3D animation software application developed by SideFX, based in Toronto. SideFX adapted Houdini from the PRISMS suite of procedural generation software tools. Its exclusive attention to procedural generation distinguishes it from other 3D computer graphics software.

So i have been having an issue with the optix denoiser, whenever i open a scene it works fine, but after a few minutes when i change to render view the denoiser stops working, i have blender 3.6 using a 4080 with the optix and my card selected in system settings, it just started happening randomly a few weeks back, i have tried changing drivers and reinstaling blender with no results, im wondering if there is a fix for this, is it a bug or a problem with my card?

However on retrieving the output buffer, I realize the data range has been enlarged to beyond 1.0. For some test image, the range seems to be 0.0 to 2.0. I need to convert this date back to unsigned char. If there is a way to find out the min and max of the output buffer, then I can simply do this cast the output buffer like this: (unsigned char)(255 * (image_pixels[i]-min)/(max-min)).

There is no such functionality to calculate the minimum or maximum value inside a color buffer inside the OptiX denoiser.

It has entry point functions calculating the HDR intensity and average color only, which are needed to produce better results especially for very dark or very bright inputs.

Please always provide the following system configuration information when asking about OptiX issues:

OS version, installed GPU(s), VRAM amount, display driver version, OptiX (major.minor.micro) version, CUDA toolkit version (major.minor) used to generate the input PTX, host compiler version.

If I choose to use CUDA driver api instead of CUDA runtime api, does that mean our customer will not need to install the CUDA 11.3 toolkit? I understand I still need to install it in my development environment but in production can they go without the toolkit installation required? They only need to have latest GPU driver run Optix denoiser if I use CUDA driver API. Correct?

Right, that calculates internal scratch memory sizes which depend on the model and options which are part of the denoiser handle created with optixDenoiserCreate and the input dimensions.

Please follow the examples inside the programming guide

-docs.nvidia.com/optix7/guide/index.html#ai_denoiser#allocating-denoiser-memory

and the optixDenoiser SDK example or the open-source examples you find in the sticky posts of this sub-forum.

You would only need a CUDA development environment (the CUDA toolkit) and host compiler on the target system if you do anything with the CUDA Compiler (NVCC) at runtime, like generating CUDA program code in some material editor and compiling it to PTX input source for OptiX, but that in turn can be handled with the CUDA Runtime Compiler NVRTC which can be shipped as two DLLs (compiler and built-ins). Though that would need the CUDA headers, which implies a CUDA toolkit installation on the target system when compiling things at runtime.

Again, no CUDA Toolkit required on the target system whatsoever. OptiX 7 is a header only API and the implementation ships with the display drivers. The input language is PTX you can compile upfront and must be shipped with your application. The necessary DLLs for the CUDA runtime environment, when you use any, also need to be shipped with your application. The customer only needs to have a display driver version installed which supports the OptiX 7 API version you used to build your application.

The explanation after that is just about the following two images inside the programming guide which cannot visualize that correctly because the negative components cannot be shown. The brighter of the two is effectively how a scaled and biased normal map texture would look like. Neither is the correct input for the denoiser.

The normal buffer might not always help. It should improve the results for highly detailed geometry.

The albedo buffer is the more important channel to improve the denoising result over just the noisy RGB buffer.

Try all three combinations of RGB, RGB+albedo, RGB+albedo+normal buffers in your application and pick the one which works best.

I also noticed that my graphic card doesn't show in GPU for Optix section (render setting), but it show in the output window when I open Maya. Not sure it is the cause or not. I searched on Google and this forum, but couldn't find solution. Have anyone experienced this issue before? and How to get rid of this error? Thank you in advanced.

I'm using geforce rtx 2070 and 3ds max 2020 and i currently installed nvidia-optix-sdk 7.0.0... But arnold doesnt allow me to use the optix denoiser out of the the same reason and giving me this alert:

I'm not sure about 3dsmax. In my case, I created NVSMI directory in C:\Program Files\NVDIA

Corporation and I copied nvml.dll from Windows\System32 and pasted it into the folder. Hope that work for you too.

But can not see anything about "optiX denoiser" option in the arnold settings at the AOVs tab. Actually it is writing at the system tab as "error" under the Device Selection/Render Device Fallback line.

Please note that this is not necessary for the denoiser. It actually prefers half data input.

Means your denoising algorithm should be faster overall when keeping the data in half format because that halves the memory size and therefore required memory bandwidth and saves the conversion time

Another thing to try is switching from the HDR denoiser to the AOV denoiser with just the noisy beauty image.

The programming guide explains the differences (use of optixDenoiserComputeAverageColor function and hdrAverageColor field).

-docs.nvidia.com/optix7/guide/index.html#ai_denoiser#nvidia-ai-denoiser

Technically I can split the image into 2048x2048 tiles as a workaround, but it would be nice if it worked out of the box or at least failed with some error code. My implementation attempts splitting the image if the denoiser fails.

Sounds good. So one last tidbit, you are manually splitting your image into tiles, is that correct? Just in case this applies to you, one thing to be aware of is that correct tiling with the denoiser needs to have an overlap region between tiles, otherwise you might get seam artifacts at the tile edges. Currently the overlap region is 64 pixels, but the OptiX 7 API has explicit calls to determine the overlap size should it change in the future, and the OptiX 6 internal tiling handles this overlap region for you.

Overall, it seems OptiX temporal denoiser loses detail compared to the other options, including the non-temporal form of OptiX denoising, in favor of temporal stability. Which you prefer is up to you.

Finally, just running a quick render test, ( with and without the denoiser active ) Optix appears to be slower than Cuda with the CPU coming in last. The time difference between the CPU and GPU rendering also stands out to me. While I know CPU is typically slower than GPU, the time difference in R7 is significantly higher than the differences are in either Blender or Maya. I wonder if Rhino is calculating the correct tile sizes when using the CPU as they are very different than the tile sizes used on a GPU. ( 32-64 vs 256 )

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