I enjoyed Tyler Hobbs’ article on flow fields; the methodology felt approachable and at the same time produced a myriad of beautiful images. I liked how he experimented with color and line length to produce a wide variety of emotion in the final products.
The collection of algorithms by Jason Webb were definitely surprising in the way generative forms can get really organic. This is especially true with the Physarum algorithmic model, where it generates organic web-like patterns recursively that look natural. It reminds me of close-up, magnified images of leaf veins.
I’ve already implemented or at least studied many of the techniques listed on Jason Webb’s page, but there were a few I hadn’t heard of/didn’t know how they worked, like Wave Function Collapse. So I researched how that works, which ended up being pretty cool, sort of reminded me of Markov chains.
I have always been a huge fan of reaction-diffusion. Especially because I am a nerd so I’ve read a lot of papers that describe reaction-diffusion in chemical contexts. I really appreciated jasonwebb’s resources for it, because If I am honest, I don’t think I would’ve known when to start implementing it.
I think the article by Tyler Hobbs was particularly interesting because I hadn’t thought about the amount of variety you could get from noise fields by tweaking very small parts of the same algorithm. All the examples of non continuous distortions?? very delicious.
Jason Webb’s list of resources are also very helpful because there’s just so much to look at. Not only are there explanations for each of the algorithms but also creative projects?!?!?
oh my god look at this:
I’ve just been in awe at all the work listed there – really opened my eyes to how many tools are out there that I can use.