We are designing a new Rombo.PowerMetal material. At the moment it supports STD generalized distribution for microfaceting reflections, microfacet normal mapping, multi-bounce microfaceting for correct energy conservation and rombo adaptive sampling for hard to sample highlights. STD distribution allow for both GGX(reflection slope set to 2) and Beckmann(set to 4) distributions and goes further on[…]
So in the while also SolidAngle/Autodesk has added an Adaptive Sampler for Arnold renderer. It is very different from the one we first demo’ed here last year. The now build-in Arnold adaptive sampler is image based while ours is a multi-dimensional adaptive sampler. What’s the main difference ? A very simple and yet very effective[…]
While Arnold already uses a stochastic approach for transparency that comes only as a ‘closure’. Which means that for custom shaders that do not use an all closure approach it is not available, so we had to add one ourselves. Stochastic transparency makes a huge impact on render times where bounces depth is high. Top[…]
Here a video that show the implementation of Rombo.Denoiser with a full Maya GUI and AOVs support. One can simply add a new AOV and select Rombo.Denoiser as an Arnold driver and access the minimal parameters. We support also Maya render region for fast previews of final results.
Here we use non-local sample-based approaches together with feature-based filtering and adaptive sampling. A proof of concept on latest denoising tech plus some creative engineering that makes it work consistently for production. For example, with a little help from the camera and with Arnold in kinda ‘pathtrace’ mode (AA samples 4×4 while all others set[…]
Yarn-based Cloth Shader : (aka) micro-fiber based BRDF : micro-fibers orientation returns correct physically-based macro specular highlights, suitable for both close-ups and distant views. Automagic color shifting, normal/bumps simulated with specular roughness for improved detail and consistency. Here we see also fiber fuzziness in action. Procedural weaving pattern support via WIFs (Weaving Information[…]