BBM is a C++20 based BRDF Benchmark that aims to provide:
- Reference implementations of BSDF models
- Support and integrating reading measured BSDFs
- Support BSDF parameter fitting with different fitting methods and metrics
- Easy integration of published fitted BSDF parameters
- Integration in existing Rendering engines
- Bindings to Python
- Support different backbone engines (e.g., enoki, drjit, etc.)
BBM is a templated based library written in C++20 relying on features such as concepts. It has been tested on recent versions of GCC and Clang. BBM uses cmake for makefile generation and sphinx+breathe+doxygen for documentation generation.
BBM is still under development. BBM currently (version 0.5.0, July 2023) supports:
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32 BSDF and variants reference implementations (evaluation and importance sampling)
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support for reading the MIT-MERL measured BSDFs
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python bindings for BSDF models
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a plugin for Mitsuba 1 (RGB and homogeneous BSDFs only)
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6 different fitting metrics and BSDF fitting support (beta)
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a native backbone implementation that does not rely on external libraries (no autodiff or packet support)
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support for the Enoki backbone
- fully supported: scalar and packet types
- experimental: CPU-based autodiff
- not supported: GPU types
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support for the DrJIT backbone
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fully supported: scalar and LLVM DrJit backbone for non-differentiable types
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experimental: CPU and LLVM based autodiff
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not supported
- DrJIT CUDA backbone
- packet types
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The development of BBM was in part supported by a National Science Foundation grant: CNS-1823154.
The basic prerequisites are: cmake (>= 3.21) and a C++20 compatible compiler.
mkdir build
cd build
cmake .. -DBBM_BINARIES=ON
make bbm_info
./bbm_info
BBM relies on sphinx (>= 6.2) + breathe + doxygen (>= 1.9.4) to generate documentation. If all three are installed, and the above cmake makefile generation was succesful, then running the following in the "build" directory:
make docs
will produce "docs/html/index.html" in the "build" directory.
You can also find the latest version of the documents on ReadTheDocs.
This project was in part supported by the National Science Foundation (CNS-1823154).