Uniform sampling Adaptive sampling Reference

Objective: Understand impacts of adaptive sampling and get to know more about pbrt Developing environment: Windows OS is recommended; you can use it linux or other OS Requirements: 1) Given a user specified ray budget (e.g., 10K sample counts), distribute those ray samples over pixels of the view space according to an adaptive or error metric. A simple metric would be variance metric. 2) Compare its visual quality and runtime performance with a simple uniform sampling. 3) Measure MSE between your result and a reference that is generated by a high number of sample counts. Do the same thing for a result generated by the uniform sampling in the same sample count. 4) Also, measure and compare the runtime cost of your method against that of uniform sampling 5) Which method is better? Explain why you think so. Explain your adaptive metric