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Vinci: An Intelligent Graphic Design System for Generating Advertising Posters

Vinci: An Intelligent Graphic Design System for Generating Advertising Posters Shunan Guo, Zhuochen Jin, Fuling Sun, Jingwen Li, Zhaorui Li, Yang Shi, Nan Cao CHI '21: The 2021 ACM CHI Conference on Human Factors in Computing Systems Session: Computational Design Abstract Advertising posters are a commonly used form of information presentation to promote a product. Producing advertising posters often takes much time and effort of designers when confronted with abundant choices of design elements and layouts. This paper presents Vinci, an intelligent system that supports the automatic generation of advertising posters. Given the user-specified product image and taglines, Vinci uses a deep generative model to match the product image with a set of design elements and layouts for generating an aesthetic poster. The system also integrates online editing-feedback that supports users in editing the posters and updating the generated results with their design preference. Through a series of user studies and a Turing test, we found that Vinci can generate posters as good as human designers and that the online editing-feedback improves the efficiency in poster modification. DOI:: https://doi.org/10.1145/3411764.3445117 WEB:: https://chi2021.acm.org/ Pre-recorded Presentations for the ACM CHI Virtual Conference on Human Factors in Computing Systems, May 8-13, 2021