Visual Communication Design Style Recognition and Automatic Creation Technology Based on Deep Learning and Generative Adversarial Network (GAN)

Key Points

• The research investigates how deep learning and GANs can be utilized for recognizing and automating visual communication design styles.
• Implemented deep learning algorithms to analyze design styles.
• Utilized Generative Adversarial Networks for automatic design creation.
• Conducted comparative analyses to evaluate effectiveness.
• Demonstrated effective recognition of various design styles from datasets.
• Achieved higher accuracy rates compared to previous methods in design automation.