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Lecture 19: Variance Reduction (CMU 15-462/662) An overview various variance reduction techniques for Monte Carlo rendering, covering bidirectional path tracing, Metropolis-Hastings algorithm, MIS, stratified Sampling, low-discrepancy sampling, blue noise, photon mapping, and finite element radiosity

It might look fine on the surface, but there are two problems visible on this diagram (that were not the case in the designs of the former modules):

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