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automatic synthesis of advertising images according to a specified style

Frontiers of Information Technology & Electronic Engineering 2020年第10期21卷 1455-1466页

作者： Wei-tao YOU Hao JIANG Zhi-yuan YANG Chang-yuan YANG Ling-yun SUN Key Laboratory of Design Intelligence and Digital Creativity of Zhejiang Province Hangzhou 310027China International Design Institute Zhejiang UniversityHangzhou 310058China International User Experience Business Unit Alibaba GroupHangzhou 311121China

Images are widely used by companies to advertise their products and promote awareness of their *** automatic synthesis of advertising images is challenging because the advertising message must be clearly conveyed while complying with the style required for the product,brand,or target *** this study,we proposed a data-driven method to capture individual design attributes and the relationships between elements in advertising images with the aim of automatically synthesizing the input of elements into an advertising image according to a specified *** achieve this multi-format advertisement design,we created a dataset containing 13280 advertising images with rich annotations that encompassed the outlines and colors of the elements,in addition to the classes and goals of the *** our probabilistic models,users guided the style of synthesized advertisements via additional constraints(e.g.,context-based keywords).We applied our method to a variety of design tasks,and the results were evaluated in several perceptual studies,which showed that our method improved users’satisfaction by 7.1%compared to designs generated by nonprofessional students,and that more users preferred the coloring results of our designs to those generated by the color harmony model and Colormind.

关键词： Image dataset Data-driven method automatic advertisement synthesis

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