This Artist Creates Dystopian Generative Cityscapes with Neural Networks

Visual artists are always looking for new forms and adapting the tools created by technological progress for artistic purposes. Generative algorithms, which existed long before computing devices, received a huge development with computers.

Since then and before the invention of generative neural networks, the generative algorithm was usually set by manual programming. Generative neural networks find the generation laws based on data, thereby allowing you to find generative algorithms automatically.

It creates complex, drawn-like images rather than geometric abstractions of conventional manually programmed generative algorithms. Also, the images generated by neural networks are much more diverse and unpredictable than those obtained by other algorithms.

In this article, the artist Nikita Plaksin talks about the principles of neural algorithms in the formation of generative places.

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