More from the new MLT algorithm

I improved it a little, and it seems to work fairly well. Now all I need is an importer, to blender or some other program, and I will open source it- well, possibly with a copyright so I can prove that I wrote it, something like PBRT has.- all except for the new MLT code, which I’d prefer to keep a secret a bit longer.

Now tell me, is this an improvment worth pursuing? Or should I go ahead and implement the paper on adaptive multi-dimensional sampling that seems to show such great improvements (does anybody know of any renderers that use this?)

The image after 420 spp, I’m not going to say how long this took because it was only on one core and was rendered while I was using my computer intensively.

The new algorithm after 20spp, at about 10 minutes on a dual core. -Lprob .01-.99 -maxRej 10-1000

the regular MLT algorithm with 20spp at about 10 miniutes, with an -Lprob .4 and maxrej of 500

the regular image’s lprob and maxrej was set to be what the new algorithm’s lprob and maxrej would average out to given thoes paremeters and scene. All MLT is based off of Keleman et al.'s robust mutation strategy paper, and paper on hybrid MLT.

blog- http://tlrcam.blogspot.com