Must read and other references.
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I was initially excited by the title of the paper but I soon found a deal-breaker. With primary-/path-space path guiding, the dimensionality of the ideal cache is infinite. But the radiance field in the scene in world space is only a 4D or max 5D function (surface/volume + direction). Prior path guiding methods utilize a world-space 4D/5D cache and work really well. With path-space guiding, the curse of dimensionality kills everything.
Click here. You'll thank me later.
It seemed to have a lot of the same ideas as multidimensional adaptive sampling (https://www.ci.i.u-tokyo.ac.jp/~hachisuka/mdas.pdf), and also the same weaknesses.
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