Adaptive BRDF-Oriented Multiple Importance Sampling of Many Lights

Overview

This project contains the source code for the EGSR 2019 paper:

Adaptive BRDF-Oriented Multiple Importance Sampling of Many Lights, by

Yifan Liu, Kun Xu and Ling-Qi Yan.

The implementation is based on pbrt-v3 and we mainly modified/added:

• src/integrators/path.h(cpp): integrator of path tracing
• src/acceleratiors/lightree.h(cpp): light tree
• src/accelerators/lighttreesampler.h(cpp): direct illumination sampling techniques, core idea of our paper
• src/materials/ltc.h(cpp): evaluation of brdf integral

Usage:

Usage should be relatively clear for developers familiar with PBRT.

$ git clone https://github.com/lyfxyz/blsml/
$ cd blsml
$ mkdir build
$ cd build
$ make ..

Please refer to pbrt-v3 for more details on building.

Test Scene

In scene/ folder, we contain an example scene: Cornell Box with thousands of small lights, which is used in our paper. To render this scene, just:

$ ./pbrt PATH2SCENE/cornell-box/scene.pbrt