Computer Aided Decorative Art Design and Multimedia Dynamic Display Based on Deep Learning Model

This article aims to explore the integration of computer-aided design in decorative art with multimedia dynamic display technology, leveraging a deep learning model. Initially, it delves into the prevailing challenges in decorative art design and the evolving trends in multimedia display, highlighting the transformative potential of Deep Learning (DL) in elevating design creativity and multimedia engagement. By synthesizing insights from DL, computer graphics, and multimedia design, we have developed a computer-aided system for decorative art design featuring a deep-learning model. This model is adept at learning and generating aesthetically pleasing decorative patterns. Through rigorous training on a vast array of traditional decorative art patterns, it generates innovative and original design concepts. Furthermore, this study utilizes computer graphics processing techniques to facilitate the dynamic presentation of these designs on multimedia platforms, elevating the visual experience for users. Experimental findings reveal that the generated patterns not only retain the aesthetic essence of traditional art but also seamlessly blend modern design elements, resulting in a distinctive and captivating visual impact. Additionally, the implementation of multimedia dynamic display technology significantly boosts the interactivity and appeal of the design works. © 2024 U-turn Press LLC.