Toward Modeling Creative Processes for Algorithmic Painting

Abstract

This paper proposes a framework for computational modeling of artistic painting algorithms, inspired by human creative practices. Based on examples from expert artists and from the author’s own experience, the paper argues that creative processes often involve two impor- tant components: vague, high-level goals (e.g., “make a good painting”), and exploratory processes for discov- ering new ideas. This paper then sketches out possible computational mechanisms for imitating those elements of the painting process, including underspecified loss functions and iterative painting procedures with explicit task decompositions.