AI Powered Multi-model Content Creation For Virtual Gallery Using Learning Machine

Yen‐Wen Chen, Yi-Wei Chiu, Yu-Sin Liu, Chih-Yu Huang, Yu-Chun Shen · 2023

Online digital advertising is currently a crucial marketing tool. Presently, the production of marketing content, including images, copy, and music, is still carried out using traditional manual methods. The purpose of this paper is to utilize AI technology to automatically generate diverse and contextually relevant initial drafts of marketing content. Users can gain inspiration from these drafts, resulting in significant time and manpower cost savings. Users only need to input a product image, product name, and select a music style through the webpage. Subsequently, the webpage will showcase AI-generated initial drafts of product copy with various backgrounds and arrangements. Taking inspiration from a museum concept, when users hover their mouse over the displayed product, they can simply press a designated key to play the generated music. This offers users a preliminary idea of the product in terms of imagery, copy, and music – all three aspects combined.

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