Swarmic Paintings and Colour Attention

Abstract

Abstract. Swarm-based multi-agent systems have been deployed in non-photorealistic rendering for many years. This paper introduces a novel approach in adapting a swarm intelligence algorithm -Stochastic Diffusion Search -for producing non-photorealistic images. The swarmbased system is presented with a digital image and the agents move throughout the digital canvas in an attempt to satisfy the dynamic roles -attention to different colours -associated to them via their fitness function. Having associated the rendering process with the concepts of 'attention' in general and colour attention in particular, this papers briefly discusses the 'computational creativity' of the work through two prerequisites of creativity (i.e. freedom and constraints) within the swarm intelligence's two infamous phases of exploration and exploitation.

Swarmic Sketches and Attention Mechanism

“…See [3] for an example of using SDS-led colour attention for rendering input images into paintings called 'Swarmic Paintings'.…”

Stochastic Diffusion Search Review

“…A brief account of the 'computational creativity' of the work is given through two prerequisites of creativity within the swarm intelligence' s two infamous phases of exploration and exploitation; these phases are also described through the attention and tracing mechanisms respectively. The concept of SDS-led attention is extendible to other measures such as colour which is explored in another work introducing swarmic paintings [6], where SDS is used for producing non-photorealistic images (see Fig. 6).…”

Evolutionary Image Transition and Painting Using Random Walks

“…Evolutionary algorithms (EAs) have been widely and successfully applied in the areas of art (Antunes et al, 2015;Hingston et al, 2008;Lambert et al, 2013;McCormack and d'Inverno, 2012b;Neumann andNeumann, 2018a, 2019;Romero and Machado, 2008). In this application area, the primary aim is to evolve artistic and creative outputs through an evolutionary process (al-Rifaie and Bishop, 2013;Greenfield, 2015;McCormack and d'Inverno, 2012a;Neumann et al, 2017b;Vinhas et al, 2016). The use of evolutionary algorithms for the generation of art has attracted strong research interest.…”