Generative Design for Textiles: Opportunities and Challenges for Entertainment AI

Gillian Smith
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引用次数: 6

Abstract

This paper reports on two generative systems that work in the domain of textiles: the Hoopla system that generates patterns for embroidery samplers, and the Foundry system that creates foundation paper piecing patterns for quilts. Generated patterns are enacted and interpreted by the human who stitches the final product, following a long and laborious, yet entertaining and leisurely, process of stitching and sewing. The blending of digital and physical spaces, the tension between machine and human authorship, and the juxtaposition of stereotypically masculine computing with highly feminine textile crafts, leads to the opportunity for new kinds of tools, experiences, and artworks. This paper argues for the values of textiles as a domain for generative methods research, and discusses generalizable research problems that are highlighted through operating in this new domain.
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纺织品的生成设计:娱乐人工智能的机遇与挑战
本文报告了两个在纺织品领域工作的生成系统:为刺绣取样器生成图案的Hoopla系统和为被子创建基础纸张拼接图案的Foundry系统。生成的图案由缝纫最终产品的人制定和解释,经过漫长而艰苦,但有趣而悠闲的缝合和缝纫过程。数字和物理空间的融合,机器和人类作者之间的紧张关系,以及刻板的男性计算与高度女性化的纺织工艺的并列,为新型工具、体验和艺术品带来了机会。本文论证了纺织品作为生成方法研究的一个领域的价值,并讨论了在这个新领域中操作所突出的一般性研究问题。
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