each of these images are generated from a noise based flow fields variably perturbed and increasingly constrained

these images resulted from an exploration of perlin noise after getting bored with the somewhat predictable patterns.

the baseline algorithm is the same, with only the parameters for noise generating changing. particles are started randomly and have some added behaviors (such as splitting/rejoining and deviating from course) to add depth and dynamism

for those interested, some resources that helped:

thanks to Jørgen Nystad for his instruction on a scalable high-res rendering workflow

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