ACM SIGGRAPH Courses 2016

Fourier analysis of numerical integration in Monte Carlo rendering: Theory and Practice, authored by Kartic Subr, Gurprit Singh, Wojciech Jarosz. Avaiable on ACM

• Source code includes Fourier/variance/mse analyzers for different sampling patterns.
• Dependencies:
• CGAL (used for PWConstant and QuadPixel integrands in the interface)
• OpenMP (can be made optional)
• Python (only required for PBRTIntegrand, the source code still compiles and run for other integrands without Python)
• Use recursive tag to clone from git to add the Openexr submodule:

git clone —-recursive url-to-the-repo.git

• If you accidentally already cloned FAS2016 without this flag, run the following command to also fetch the OpenEXR dependency:

git submodule update --init --recursive

• The interface supports different types of integrand. You can hit:

./build/eea or ./build/eea -h

to see the command line usage. Example to call Disk Integrand for variance analysis is as follows:

./build/exec -S --stype stratified -I Disk --rad 0.25 --center 0.5 0.5 -A --atype var --nsamps  9 36 100 512  --nreps 1000 -G --ofile testDisk

• The interface also allow user to call PBRT-v3 code directly using a python script:
• To perform Variance analysis for pbrt-v3 generated images, user can directly call pbrt from the provided Analysis code (look for PBRTIntegrand in the code). Make sure you have a cropwindow defined in the .pbrt scene file to select the region you are interested in. Example to call PBRTIntegrand (all in one line):

./build/eea -S --stype stratified 
-I --itype Pbrt 
--epath path-to-pbrt-v3-executable/pbrt 
--spath path-to-pbrt-v3-scenes/anim-killeroos.pbrt 
--pypath path-to-pythonScript/FAS2016/code/Analysis/python/pbrt-cl.py 
--crop 0.25 0.75 0.25 0.75 
--img pbrt-eea.exr 
-A --atype var --nsamps 9 16 25 36 64 --nreps 200 
-G --ofile pbrt-killeroos