Utilizing imperfections of pseudo-random number generators.
A bad PRNg can produce visible artifacts on an image (which you might have seen if you've ever tried using your own in a ray tracer for example).
It would be interesting to see these statistical imperfections utilized in a deliberate way, not by mistake.
(it's kinda between programming and math, idk where to post it)
=> Posted in: s/Math | ๐ vstrecha
2024-10-24 ยท 3 months ago
=> ๐ฆ satya [mod] ยท Oct 24 at 14:37:
Hmm yes. This is definitely at home in Math.
Can we predict what type of artifacts different imperfections create?
=> ๐ vstrecha [OP] ยท Oct 24 at 17:21:
It depends on the application. In the case of that raytracer, oversample certain areas while ignoring others, only bounce in a few directions instead of evenly and so on. Now you can of course do all of that biasing manually and it'll look a lot better but what's the fun in that?
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