Image Style Transfer and Visual Expression Based on Neural Networks

Key Points

• To explore the capabilities of neural networks in transforming images to enhance visual expression.
• Utilized neural network architectures for image style transfer.
• Experimented with various algorithms for different visual styles.
• Conducted qualitative analyses of transformed images.
• Demonstrated significant improvements in visual expression quality.
• Revealed that different styles affect viewer perception and engagement.
• Indicated potential for practical applications in digital art.

Abstract