This article provides an overview of the methods and concepts used to create a series of generated artworks using algorithms. The author emphasizes the use of noise functions as the main driving force behind these flow field images. They explain how noise functions work and demonstrate their impact on the visual output. The article also explores alternative approaches to noise functions and highlights the importance of collision detection in creating more interactive and dynamic images. The author suggests various optimizations and techniques for improving performance. Additionally, different coloring methods are discussed to add variation and visual appeal to the images. Overall, the article encourages experimentation and exploration with these techniques to achieve unique and captivating results.
https://damoonrashidi.me/articles/flow-field-methods