OpenImageDenoise
An open-source library of high-performance, high-quality denoising filters for ray-traced images using deep learning.
What is OpenImageDenoise?
Intel Open Image Denoise is an open-source library that provides high-performance denoising filters for ray-traced images. It uses deep learning models to remove Monte Carlo noise from images rendered with stochastic ray tracing methods like path tracing, allowing for significantly reduced rendering times. The library supports a wide range of CPUs and GPUs, making it suitable for everything from offline rendering to interactive applications.
Developers and researchers working on ray tracing-based rendering applications, including those in visual effects, animation, gaming, and scientific visualization who need efficient noise reduction.
It offers a high-quality, open-source alternative to proprietary denoising solutions, with cross-platform support, the ability to train custom models, and performance optimized for both CPUs and GPUs from multiple vendors.
Overview
Intel® Open Image Denoise library
Use Cases
Best For
- Reducing rendering times in path-traced animations and visual effects
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
