论文标题
摘要的书籍封面合成
Book Cover Synthesis from the Summary
论文作者
论文摘要
封面是一本书的脸，是读者的吸引力。设计书籍封面是出版行业的重要任务。创建书籍封面的主要挑战之一是在单个图像中代表本书内容的主题。在这项研究中，我们探讨了使用人工智能制作书籍封面的方法，基于书籍摘要及其封面之间存在关系。我们的关键动机是应用文本对图像合成方法来生成来自给定文本或字幕的图像。我们为此目的探索了几种现有的文本对图像转换技术，并提出了一种方法，以利用这些框架来从提供的摘要中制作书籍封面。我们构建了一个英语书籍的数据集，其中包含大量现有书籍及其封面图像的摘要样本。在本文中，我们描述了我们收集，组织和预处理数据集以将其用于培训模型的方法。我们应用不同的文本对图像合成技术来生成摘要中的书籍封面，并在本文中展示结果。
The cover is the face of a book and is a point of attraction for the readers. Designing book covers is an essential task in the publishing industry. One of the main challenges in creating a book cover is representing the theme of the book's content in a single image. In this research, we explore ways to produce a book cover using artificial intelligence based on the fact that there exists a relationship between the summary of the book and its cover. Our key motivation is the application of text-to-image synthesis methods to generate images from given text or captions. We explore several existing text-to-image conversion techniques for this purpose and propose an approach to exploit these frameworks for producing book covers from provided summaries. We construct a dataset of English books that contains a large number of samples of summaries of existing books and their cover images. In this paper, we describe our approach to collecting, organizing, and pre-processing the dataset to use it for training models. We apply different text-to-image synthesis techniques to generate book covers from the summary and exhibit the results in this paper.
