تقرير
Toward Modeling Creative Processes for Algorithmic Painting
العنوان: | Toward Modeling Creative Processes for Algorithmic Painting |
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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 |
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