Year: 2025
Type: article
Abstract: In order to improve the appearance design effect of art exhibits, this paper uses the improved StyleGAN architecture to generate high-fidelity three-dimensional objects. This paper maps the image to the feature space through VAE, and then reconstructs the three-dimensional properties of the shape and surface from the well-decoupled latent vectors through the improved StyleGAN architecture. The visual-audio-to tactile (VA2T) algorithm directly generates tangential friction force and normal force data in the time domain, serving multi-dimensional data-driven tactile rendering. Combined with the experimental analysis, the VA2T algorithm based on time series force tactile data proposed has certain effects. In addition, combined with experimental analysis, it can be seen that the model proposed in this paper has a certain effect in the design of art exhibits, which can effectively improve the design effect of art exhibits and enhance the actual experience of visitors.
Author: Yujun Peng
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Funder: Ministry of Education, India
OpenAlex ID: W4411670896