An efficient denoising algorithm for global illumination

¹Stanford University ²Williams College ³Dartmouth College

In Proceedings of High Performance Graphics, 2017

Real-time render with direct light plus two path-traced indirect samples per pixel, and our result denoised in 10 ms.

Abstract

We propose a hybrid ray-tracing/rasterization strategy for real- time rendering enabled by a fast new denoising method. We factor global illumination into direct light at rasterized primary surfaces and two indirect lighting terms, each estimated with one path- traced sample per pixel. Our factorization enables efficient (biased) reconstruction by denoising light without blurring materials. We demonstrate denoising in under 10 ms per 1280×720 frame, compare results against the leading offline denoising methods, and include a supplement with source code, video, and data.

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Michael Mara

Morgan McGuire

Benedikt Bitterli

Wojciech Jarosz

Proceedings of High Performance Graphics

@inproceedings{mara17towards,
    author = "Mara, Michael and McGuire, Morgan and Bitterli, Benedikt and Jarosz, Wojciech",
    title = "An Efficient Denoising Algorithm for Global Illumination",
    booktitle = "Proceedings of High Performance Graphics",
    year = "2017",
    month = jul,
    publisher = "ACM",
    address = "New York, NY, USA",
    isbn = "978-1-4503-5101-0",
    location = "Los Angeles, California, USA",
    doi = "10/gfzndq",
    abstract = "We propose a hybrid ray-tracing/rasterization strategy for real- time rendering enabled by a fast new denoising method. We factor global illumination into direct light at rasterized primary surfaces and two indirect lighting terms, each estimated with one path- traced sample per pixel. Our factorization enables efficient (biased) reconstruction by denoising light without blurring materials. We demonstrate denoising in under 10 ms per 1280×720 frame, compare results against the leading offline denoising methods, and include a supplement with source code, video, and data."
}