Book Cover Synthesis from the Summary
Abstract
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.
Cite
@article{arxiv.2211.02138,
title = {Book Cover Synthesis from the Summary},
author = {Emdadul Haque and Md. Faraz Kabir Khan and Mohammad Imrul Jubair and Jarin Anjum and Abrar Zahir Niloy},
journal= {arXiv preprint arXiv:2211.02138},
year = {2022}
}
Comments
Accepted as a full paper in AICCSA2022 (19th ACS/IEEE International Conference on Computer Systems and Applications)