Investigating the role of artificial intelligence in immersive visual design: A case study in Nanjing
Shuang Chen, Huan Chen, Yajun Lu · 2024
In the 21st century, the rapid development of computers and the Internet has facilitated the deep integration of art and technology, leading to the vigorous rise of new media art and making immersive experiences a new trend in the cultural and creative industries. This research uses Nanjing, a representative example of urban culture, as a backdrop to explore immersive visual image design and examine the impact of integrating technology and art on the cultural and creative industries. First, deep learning algorithms, including Convolutional Neural Networks (CNNs), are employed to automatically analyze Nanjing's urban culture and extract visual elements, such as mountains, water, cities, and forests, with local characteristics. Next, Generative Adversarial Networks (GANs) are used to generate and optimize the extracted visual elements, organizing them in a systematic manner to enhance the artistic and scientific qualities of the images. Additionally, a highly interactive imaging system is designed by combining ToughDesigner (TD) software with Kinect sensing equipment. Finally, an immersive visual exhibition space is constructed using light and shadow projection technology to showcase Nanjing's urban culture and shape the city's image. This research aims to provide a reference for the future development of new media art, promote the deeper integration of technology and art, and enhance the public's cultural experience and perception of artworks.