AI辅助服装设计
AI Assisted Apparel Design
摘要：
时尚是一个快速变化的行业，每个季节都会大规模更新设计。此外，它还面临着未售出库存的巨大挑战，因为并非所有设计都能吸引客户。这给设计师带来了巨大的压力。首先，他们需要创造无数的新鲜设计。其次，他们需要创造吸引客户的设计。虽然我们看到了帮助设计师分析消费者的方法的进步，但通常这样的见解太多了。用这些见解创建所有可能的设计是耗时的。在本文中，我们提出了一个AI助手系统，帮助设计师进行设计。该系统可以帮助设计师分析服装的不同销售/趋势属性。我们提出了两个设计生成助手，即服装风格合并和服装风格转移。Apparel-Style-Merge通过结合服装的高级组件来生成新的设计，而Apparel-Style-Transfer通过应用不同的风格，颜色和图案来生成服装的多种定制。我们组成了一个新的数据集，名为DeepAttributeStyle，与细粒度的注释不同的服装部件，如颈部，袖子等的地标建议的系统进行评估的用户组组成的人和没有设计背景。我们的评估结果表明，我们的方法产生高品质的设计，可以很容易地用于制造。此外，建议的设计有助于设计师的创造力。
英文摘要：
Fashion is a fast-changing industry where designs are refreshed at large scale every season. Moreover, it faces huge challenge of unsold inventory as not all designs appeal to customers. This puts designers under significant pressure. Firstly, they need to create innumerous fresh designs. Secondly, they need to create designs that appeal to customers. Although we see advancements in approaches to help designers analyzing consumers, often such insights are too many. Creating all possible designs with those insights is time consuming. In this paper, we propose a system of AI assistants that assists designers in their design journey. The proposed system assists designers in analyzing different selling/trending attributes of apparels. We propose two design generation assistants namely Apparel-Style-Merge and Apparel-Style-Transfer. Apparel-Style-Merge generates new designs by combining high level components of apparels whereas Apparel-Style-Transfer generates multiple customization of apparels by applying different styles, colors and patterns. We compose a new dataset, named DeepAttributeStyle, with fine-grained annotation of landmarks of different apparel components such as neck, sleeve etc. The proposed system is evaluated on a user group consisting of people with and without design background. Our evaluation result demonstrates that our approach generates high quality designs that can be easily used in fabrication. Moreover, the suggested designs aid to the designers creativity.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
