ScribGen: Generating Scribble Art Through Metaheuristics

TL;DR

ScribGen introduces a novel method for generating scribble art using metaheuristic algorithms, enabling the creation of spontaneous, expressive abstract sketches that mimic human-like impulsive drawing styles.

Contribution

This paper presents ScribGen, a new approach leveraging metaheuristics to automatically generate expressive scribble art, bridging computational techniques with artistic spontaneity.

Findings

Successfully generates diverse scribble art styles

Produces art that resembles human impulsive sketches

Demonstrates potential for creative AI-assisted art creation

Abstract

Art has long been a medium for individuals to engage with the world. Scribble art, a form of abstract visual expression, features spontaneous, gestural strokes made with pens or brushes. These dynamic and expressive compositions, created quickly and impulsively, reveal intricate patterns and hidden meanings upon closer inspection. While scribble art is often associated with spontaneous expression and experimentation, it can also be planned and intentional. Some artists use scribble techniques as a starting point for their creative process, exploring the possibilities of line, shape, and texture before refining their work into more polished compositions. From ancient cave paintings to modern abstract sketches and doodles, scribble art has evolved with civilizations, reflecting diverse artistic movements and cultural influences. This evolution highlights its universal appeal, transcending language and cultural barriers and connecting people through the shared experience of creating art.