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Mitsuba

Mitsuba

Mitsuba is an extensible rendering framework written in portable C++. It implements unbiased as well as biased techniques and contains heavy optimizations targeted towards current CPU architectures.

Mitsuba comes with a command-line interface as well as a graphical frontend to interactively explore scenes. While navigating, a rough preview is shown that becomes increasingly accurate as soon as all movements are stopped. Once a viewpoint has been chosen, a wide range of rendering techniques can be used to generate images, and their parameters can be tuned from within the program. .

Mitsuba can transparently distribute work over a cluster without the need for a shared filesystem. Most implemented algorithms can be run in parallel over massive numbers of networked cores.

 Mitsuba 0.4.4

Price
Free to download

Size
8.2MB
License

GNU GPL v3

Developer
Wenzel Jakob

Website
www.mitsuba-renderer.org

System Requirements
collada-dom
libbost-filesystem 1.42 or higher

Support Sites:
Documentation, FAQ, Development Blog

Selected Reviews:

Features include:

  • Available rendering techniques:
    • Direct illumination
    • Monte-Carlo path tracer which solves the full Radiative Transfer Equation
    • Photon mapper with irradiance gradients
    • Adjoint particle tracer
    • Instant Radiosity (hardware-accelerated)
    • Progressive Photon Mapper
    • Stochastic Progressive Photon Mapper
    • Veach-style Bidirectional Path Tracer
    • Kelemen-style Metropolis Light Transport
    • Veach-style Metropolis Light Transport
  • Supports the most commonly used scattering models: Lambertian surfaces, ideal dielectrics & mirrors as well as the the Phong & anisotropic Ward BRDFs
  • Compute global illumination solutions in scenes containing large isotropic or anisotropic participating media
  • Internally uses a O(n log n) SAH kd-tree compiler with support for primitive clipping (aka. perfect splits). The ray tracing core is built on Havran's fast traversal algorithm
  • Data exchange with the major modeling packages is supported using the COLLADA file format. Mitsuba can read DAE files and convert them into its native XML-based file format
  • Spectral rendering, black body radiation and dispersion
  • Customizable image reconstruction filters
  • High dynamic-range input/output using the OpenEXR format
  • Deterministic Quasi-Monte Carlo sampling
  • Adaptive integration
  • Depth of field

Mitsuba in action

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Last Updated Monday, March 24 2014 @ 03:20 PM EST


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