Digital Media Art and Visual Communication Design Under the Background of Artificial Intelligence Research on Innovation Development

Abstract

Abstract With the fast develo China's science and technology, artificial intelligence and information technology have been used widely to enhance expression of human sentiments and the speed of information transmission, as well as to create digital media art. As a result of the advancements in digital media art, visual communication design (VCD) has undergone substantial transformations, and it is imperative that the designers responsible adapt VCD to these changes in order to enhance the design impact. This article examines the evolution and creativity of VCD in the context of digital media art, using AI as a backdrop. Initially the digital media art dataset is collected and the raw image data is preprocessed using normalization method. The preprocessed 2D data is converted to 3D using Selective Deep Generative Adversarial Network (SD-GAN). To enhance the quality of the visual design we use Particle Swarm Optimization (PSO) algorithm. The performance of the recommended system is analyzed and compared with conventional approaches to prove the efficacy of the proposed system.