corruption

• 

• 

• 

• 

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:

• Flow Fields
  • a great overview and creatively inspiring dive into flow fields from Tyler Hobbs
• Pattern formation using Dividing-Aggregating Walkers
  • while not immediately visible in these results, and interesting and helpful in creating a generalized framework for a system of interacting vector fields
• How to make generative art feel natural

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