Rombo for Arnold and Mental Ray

Rombo for Arnold and Mental Ray

Rombo for Arnold and Mental Ray is a set of powerful fast and easy to use shaders and materials that you have to check out.

Rombo for Arnold and Mental Ray is a set of powerful fast and easy to use shaders and materials, a virtual camera with integrated tone mapping, state-of-the-art depth of field and sensor response functions, that work together with a high-quality dome light that supplies both image based lighting and a spectral physical sun and sky.

The system is said to implement latest advancement in computer graphics development and combine a smooth and ergonomic integration in the DCC applications.

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Fast And Reliable shading tools for Arnold and mental ray. Rombo comes with a custom sampler that over-perform build in samplers. Built on latest technologies, fully adaptive, importance based, high quality, high performance, – sampling has never been so satisfactory. You simply get what you expect, beautiful artifact-free renderings. You can just forget about and let Rombo and your engine of choice render your images. Devoted to simplicity and easy to use tools, Rombo is here to give you a modern and advanced workflow that will let you forget about technicalities and better focus on what really matters. We believe in facts that after having been advanced and after the time of the know-it-all, one has to get back to the ground of simplicity to really exploit the complexity of his own vision and workflow.

Rombo Tools 

Features:

  • HIGH PERFORMANCE — The team tested Rombo on production scenes where factory tools were not really able to accomplish the task. Performance wise from the ground up.
  • HIGH QUALITY — The toolkit boosts the quality and realism of your rendering instantly. Render in minutes, not hours.
  • USER FRIENDLY — Clean and user oriented UIs. The tool seamlessly integrates in the DCC apps to boost your workload and absorp unwanted complexity.
  • LATEST TECHNOLOGIES — Rombo holds a good balance between stability and innovation.

You can learn more and get the toolkit here

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