Interactive Art Style Font Modeling and Implementation Based on Artificial Intelligence

Abstract

Stylized font is to apply some special artistic styles to traditional fonts and present the original traditional rigid text fonts in a certain artistic form. Artificial intelligence can simulate human thinking and decision-making processes, but its decisions are based on a large amount of data and algorithmic calculations, rather than individual subjective judgments and inspirations. Although artificial intelligence can also produce some unique results, its creativity and uncertainty are limited and predictable, and its innovation and flexibility are relatively low compared to the inspiration of human art and design. In this article, an AI-based high-resolution image reconstruction algorithm for artistic fonts is proposed to improve the modeling stage of artistic font computer-aided design (CAD), which not only meets the requirements of font variability, but also strengthens the human-computer interaction (HCI) experience of user participation. The learning method of artistic font style based on this model has more advantages in recognition accuracy, and it is feasible to be applied in interactive artistic font CAD modeling. Dropout method added to the model can effectively prevent over-fitting, strengthen the generalization ability of the network, and effectively complete the task of font style learning. Under the promotion of HCI concept, AI can also be used to automate Type design. This method uses machine learning and computer vision technology to automatically recognize and process various elements in Type design, such as characters, glyphs, font styles, etc. In general, the combination of artificial intelligence and artistic style Type design can provide designers and artists with more creativity and flexibility, and also bring new possibilities and challenges to Type design.