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 important components: vague, high-level goals (e.g., "make a good painting"), and exploratory processes for discovering 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.

翻译：本文提出了艺术绘画算法的计算模型框架,这一框架受人类创作实践的启发,根据专家艺术家的事例和作者本身的经验,论文认为,创作过程往往涉及两个重要部分:模糊的、高层次的目标(例如“画得漂亮”)和探索发现新思想的过程,本文然后勾画出可能用来模仿绘画过程这些要素的计算机制,包括未详细说明的损失功能和具有明确任务分解的迭接绘画程序。