论文标题
旨在建模算法绘画的创作过程
Toward Modeling Creative Processes for Algorithmic Painting
论文作者
论文摘要
本文提出了一个灵感来自人类创意实践的启发的艺术绘画算法的计算建模框架。基于专家艺术家的示例和作者自己的经验，本文认为，创作过程通常涉及两个重要组成部分：含糊，高级目标（例如，“制作好绘画”）以及发现新想法的探索过程。然后，本文勾勒出可能模仿绘画过程的元素的可能计算机制，包括指定的损失功能和具有明确任务分解的迭代绘画程序。
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.
