日本感性工学会論文誌
Online ISSN : 1884-5258
Print ISSN : 1884-0833
ISSN-L : 1884-5258
感性語を考慮した敵対的生成ネットワークを用いたロゴマーク生成
佐川 友里香萩原 将文
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ジャーナル フリー 早期公開

論文ID: TJSKE-D-18-00091

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Logos are very important to represent the impression of companies and brands. Since many logos are created by designers, there is a problem of high cost both in terms of money and time. Since sentiment terms are important as keywords when designing logos, we propose a logo generation system using sentiment terms. Originally, we should create a dataset of logo images and sentiment terms directly, but it is difficult to collect these logo images and the corresponding sentiment terms. Therefore, we employ the domain adaptation method to the dataset of furniture images and sentiment terms to create dataset of the logos and sentiment terms. Finally, we can generate logos considering 17 sentiment terms using Generative Adversarial Networks. We evaluated the proposed system using MS-SSIM score and confirmed that it can generate logos with diversity. Moreover, we performed subjective experiments to confirm that it can generate logos reflecting sentiment terms.

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