Rendering Lecture 02 - Monte Carlo

This lecture is part of the computer graphics rendering course at TU Wien. It explains the Monte Carlo algorithm for integrating high dimensional functions, how to compute the variance of such estimators, and how to reduce it by employing importance sampling. It then goes on to apply this new knowledge by implementing an ambient occlusion and a direct lighting renderer.
The course website and slides: www.cg.tuwien....
ERRATA: In slides 116 and 126, we used "rendering[y][x]" to address pixels, when it should have been "rendering[py][px]" instead.

[@officialVIGNUM]

Underrated channel, in my university they don’t teach this content

[@scottmonaghan1078]

22:27 had me laughing, im like 'whats happening to my speakers?!?' - seamlessly back on track lol

[@cgtuwien]

:D

[@monetlarry8400]

all of the sudden, I thought the body of speaker were took up by an Alien,lol

[@alexn4378]

That scared me, didn't expect that in a lecture context :D

[@jeffreyzhuang4395]

The best rendering tutorial ever!

[@wangger7470]

In 8:59, the probability does not guarantee to integrate to 1, but the probability density must integrate to 1.

[@bimDe2024]

The famous "Adam's Cat"

[@Kram1032]

28:58 got plenty of them in zoos :P

[@R4t4n]

Awesome lectures, but please, stop hurting the cats, our rulers :(

[@cgtuwien]

I'm not hurting cats! I'm just showing what could happen if you do the wrong thing ;)