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innoBright’s tutorial on setting up Altus, its standalone tool for denoising Monte Carlo renders generated in engines including Arnold, V-Ray, Corona and Redshift. The firm has just released version 1.3 of the software.
Originally posted on 8 January 2016. Scroll down for news of the Altus 1.3 release.
innoBright Technologies has released Altus 1.2, the latest update to its interesting tool for denoising images
generated in a range of common renderers, including Arnold, V-Ray, Corona and Redshift.
The update improves Altus’s handling of EXRs and standardises the software’s pricing.
Generate quick, noisy renders, then clean them up in postLaunched last fall, the software works along similar lines to the Denoise option introduced inRenderMan 20
: in this case, automatically removing noise from raytraced images generated using Monte Carlo methods.
Users generate two fast, noisy source images, each composed of six standard passes
(beauty, normal, albedo and so on) in their chosen renderer, then run Altus as a post-process to create a single clean image.
According to innoBright, this combined rendering and post-processing workflow acclerates Monte Carlo renders by 200-1,200% over simply generating an equivalently noise-free image in the host render engine.
The software can handle depth of field and motion blur, and supports both still renders and animations.
Better handling of EXRs, under-the-hood improvementsThe changes in Altus 1.2 are mainly under the hood: handling of alpha channels and filtering has been “completely rewritten” and innoBright has “fixed tons of bugs”.
However, handling of EXRs has also been improved: Altus now supports 32-bit floating-point precision, can write tiled EXRs, and preserves header information, so output EXRs have the same headers as the source files.