Path tracing lectures

Earlier this year, I prepared lectures on path tracing for master students at TU Delft. We decided to make recorded versions of these lectures available to the general public. I also wrote a simple Vulkan path tracer for illustrations in the lectures, which is open source now. You can watch the lectures on YouTube (113 minutes) to learn about basic principles of path tracing and all the importance sampling strategies that go into the path tracer. Then you can dig into the code to see how they are implemented. The first lecture is similar in scope to part 2 of my path tracing workshop. It ends with a naive path tracer. Part 2 dives into importance sampling strategies that achieve considerably lower noise at the same computational cost: BRDF importance sampling, light sampling and the combination of these two strategies using multiple importance sampling and next-event estimation. These contents are similar to what I had in mind for part 3 of the path tracing workshop.