For this homework the objectives were to:
- write camera with depth of field
- write a naive path tracer
- write a path tracer with MIS (multiple importance sampling)
- write an hair material based on pbrt v.3
(The original readme of the homework can be found as readme.html)
The code uses the library Yocto/GL,
that is included in this project in the directory yocto.
In order to compile the code, you have to install
Xcode
on OsX, Visual Studio 2019 on Windows,
or a modern version of gcc or clang on Linux,
together with the tools cmake and ninja.
The script scripts/build.sh will perform a simple build on OsX.
Main functionalities can be found in yocto_pathtrace.{cpp|h}
This repository also contains tests that are executed from the command line
as shown in run.sh. The rendered images are saved in the out/ directory.
The results can be compared with the ones in the directory check/.
In this homework/project the following features are implemented:
- Camera Sampling in functions
pathtrace_samples() - Naive Path tracing in function
shade_naive() - Brdf sampling in function
eval_brdfcos(),sample_brdscos()andsample_brdfcos_pdf() - Delta handling in function
eval_delta(),sample_delta()andsample_delta_pdf() - Light sampling in function
sample_lights()andsample_lights_pdf() - Path tracing in function
shade_pathtrace() - Hair BSDF in function
eval_hairbsdf(),sample_hair()andsample_hair_pdf()
Extra information about Hair BSDF implementation can be found in report.pdf
Other renders can be found in out/ folder.
