Artistic control over the glitch in AI-generated motion capture

TL;DR

This paper explores how artists can intentionally control and utilize glitches in AI-generated motion capture to create novel art, highlighting unexpected positive outcomes and artistic possibilities.

Contribution

It introduces methods for artistic control over AI glitches in motion capture, enabling new forms of creative expression and understanding of glitch phenomena.

Findings

Glitches can be harnessed for artistic expression.

Artists can influence glitch outcomes intentionally.

Positive artistic effects emerge from controlled glitches.

Abstract

Artificial intelligence (AI) models are prevalent today and provide a valuable tool for artists. However, a lesser-known artifact that comes with AI models that is not always discussed is the glitch. Glitches occur for various reasons; sometimes, they are known, and sometimes they are a mystery. Artists who use AI models to generate art might not understand the reason for the glitch but often want to experiment and explore novel ways of augmenting the output of the glitch. This paper discusses some of the questions artists have when leveraging the glitch in AI art production. It explores the unexpected positive outcomes produced by glitches in the specific context of motion capture and performance art.