Visual sensing image technology has narrowed the distance between people and art with the rapid development of digital media, but new art forms continue to appear. Therefore, this exploration is aimed at studying the application of visual image technology based on user interface (UI) and virtual reality (VR) technology in art. This exploration is to explore the development path of digital media art. The concept of UI is briefly discussed. Based on the current means of visual sensing technology, UI, visual sensing image technology, and digital media art are successfully combined after the close relationship between digital media and art is realized. The results show that VR technology, which combines UI and visual sensing technology, has good compatibility with digital media art and can further shorten the distance between digital media art and the public. Moreover, the promotion of this application can greatly increase users’ experience of VR. In addition, most people hold a more positive attitude towards this combination. It reveals that it is essential to apply UI and visual sensing image technology to digital media art.

As the continous innovation of new media technology, the media environment of the entire society has undergone profound changes. Digital technology has had a profound impact on the way news is disseminated. It has made a significant impact on the collecting, creation, and distribution of news, as well as the way viewers receive it. As a result, the news media’s operation and management style is continually modified. However, in the process of news dissemination, the situations involved are complex and changeable, which leads to different digital technology applications. Aiming at different complex situations in news dissemination under the vision of new media art, this work designs a neural network to optimize the distribution for the required digital technology application schemes. The main work of this paper has the following two points. First, it systematically investigates the current research status of news communication based on digital technology and analyzes the research trends of digital technology and news communication in complex contexts under the vision of new media art. Second, a new neural network is proposed for the optimal application of digital technology for news propagation in different complex situations. This neural network uses an improved particle swarm optimization algorithm and an improved network training strategy to improve the BP network, which can effectively solve the shortcomings of the BP network. A large number of experiments have proved the effectiveness and correctness of this method.