File:ReSTIR denoising example1.png

Original file (478 × 816 pixels, file size: 1.25 MB, MIME type: image/png)

Summary

Description
English: A 3D model (figurine of a dancer) rendered using simple Monte Carlo integration with 5 samples (top half) and ReSTIR with spatial reuse (bottom half). Both halves were denoised using Intel Open Image Denoise. An environment map was used to simulate a scene with many lights, only using the upper half of the environment map. Only direct light was rendered (treating the environment map as a light; this light technically includes bounced light from objects visible in the environment map).

ReSTIR image used light sampling with streaming RIS (32 light samples, 1 ray traced to test shadowing) and two passes of unbiased spatial reuse, with a neighborhood radius of 30 pixels.

Images were rendered using C++ code and GLSL shader code using the Vukan API. Implementation used algorithms from the original ReSTIR paper. A radius of 30 pixels was used for neighborhood sampling. Some neighbors were rejected based on depth and normal vector similarity. An integer hash function was used for random number generation. Environment map sampling used an alias table. Denoising was done using the oidnDenoise.exe program from the Open Image Denoise 2.3.3 download for Windows.
Date
Source

Own work

3D model is public domain (CC0) by the Smithsonian 3D Digitization project, from https://3d.si.edu/object/3d/figure-dancer:88de08dd-b8ab-470a-b987-ed6fe35def04 "Figure of a Dancer" (3D scan of a porcelain figurine manufactured in France c. 1900, design by Agathon Léonard 1841–1923)

Environment map used for lighting is public domain (CC0) by Greg Zaal and Jarod Guest, from https://polyhaven.com/a/billiard_hall
Author KaiaVintr

Licensing

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Captions

3D model (figurine of a dancer) rendered using MC integration and ReSTIR, and denoised using Intel Open Image Denoise, + reference image

Items portrayed in this file

depicts

30 November 2025

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Date/TimeThumbnailDimensionsUserComment
current03:44, 1 December 2025Thumbnail for version as of 03:44, 1 December 2025478 × 816 (1.25 MB)KaiaVintrUploaded own work with UploadWizard

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