Creativity in Machine Learning

TL;DR

This paper provides an overview of how recent machine learning techniques generate creative outputs across various media, highlighting their novelty and potential for newcomers in the field.

Contribution

It offers a high-level summary of current creative machine learning methods and examples, serving as an introductory resource for beginners.

Findings

Machine learning can produce novel creative results in images, text, and audio.

Recent techniques enable outputs that are not simple combinations of input data.

The paper summarizes existing work to guide newcomers in the field.

Abstract

Recent machine learning techniques can be modified to produce creative results. Those results did not exist before; it is not a trivial combination of the data which was fed into the machine learning system. The obtained results come in multiple forms: As images, as text and as audio. This paper gives a high level overview of how they are created and gives some examples. It is meant to be a summary of the current work and give people who are new to machine learning some starting points.