Toward Modeling Creative Processes for Algorithmic Painting

التفاصيل البيبلوغرافية
العنوان: Toward Modeling Creative Processes for Algorithmic Painting
المؤلفون: Hertzmann, Aaron
سنة النشر: 2022
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Graphics
الوصف: 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.
Comment: Proc. ICCC 2022
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2205.01605
رقم الأكسشن: edsarx.2205.01605
قاعدة البيانات: arXiv