Collaborative Application of CAD Technology and Deep Learning in Art Design Under AIGC Background
Year: 2025
Type: article
Abstract: This study discusses how to use CAD technology and deep learning to improve the collaborative application effect of art design under the background of artificial intelligence (AIGC). By improving the accuracy of design drawings, establishing an image generation model, marking feature points, building a color imitation system, and using deep learning algorithm to classify images, efficient and accurate image processing and automatic generation of design works are realized. Research shows that the combination of CAD and deep learning can not only improve work efficiency in art design, but also automatically generate design works according to the style of big data.
DOI: 10.4018/jcit.380785
Author: Huibin Jin
Institution: Henan Technical College of Construction
Language: English
Topic: Digital Media and Visual Art
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4411411564