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.
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.
Website: www.mitsuba-renderer.org
Support: Documentation
Developer: Wenzel Jakob
License: GNU General Public License v3.0
Mitsuba is written in C++. Learn C++ with our recommended free books and free tutorials.
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