The gestalt of AI creations

Using creational neural networks to inspire aesthetic creation

Source: Performance RNN by Magenta-Tensorflow
Source: Automatic Donald Trump Tweet Generator

The act of abstraction

The thought function we undergo when challenging ourselves with the task of abstracting an information is by using our intellect to tell the same story in fewer words,

(Pooling method, Source: Fei-Fei Li, Andrej Karpathy, and Justin Johnson. 2016. Convolutional neural networks CS231n.)
(From the left: Ostagram, Prisma AI, Deepart and Wizart AI)

Gestalt Psychology

Paul Rand: The language of Form
Artwork: Prisma AI

Aesthetics — the taste of beauty

from a consumer perspective aesthetics are artistic outcomes that have the ability to entertain us. The problem with every system for creation is that the entertainment factor goes down when consuming the outcomes the moment when we get used to the system.

Technical Environment

Interface interaction and command

Information Loss

Earlier mentioned, 50 data points can be used to try to capture the informations of 1 million data points. The 50 data points cannot capture all the informations, so they are forced to stick to the essence — the neural networks’ best guess at what the gestalt could be based on the little informations they are allowed to keep.

(Foto: AP Photo/Jens Meyer)

Neural networks of style generation are creating alternative forms of the pixel — perhaps the beginning of an organic digital era?

Different output rendering sizes
Resized and overlayed all outputs
enlargement of the very small renders
upscaling issues

Experiment

What would an artist see and make from such an image if he knew nothing around how the result has been made?
The idea was to use a refined image without using the pixelated image (which would cause confusion) and ask artists to try to use their imagination to add made-up information to the image.
I published jobs on a freelance platform where artists offered their jobs to paint things.

Asking artists to draw what they see in the abstract sketch
How did that happen?
Maybe a bit afraid to transform the input?

Conclusions

1
This work shows there is potential in instrumentalizing neural networks for inspiring aesthetic creation.

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Product strategist & designer with a 10 year background in design and entrepreneurship. 👉 Co-founder@AUCTA, creator@NucleusIcons 👉 https://daniel-seiler.com

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Daniel Seiler

Product strategist & designer with a 10 year background in design and entrepreneurship. 👉 Co-founder@AUCTA, creator@NucleusIcons 👉 https://daniel-seiler.com