A Research on the Dynamization Effect of Brand Visual Identity Design: Mediated by Digital Information Smart Media

Abstract

The article utilizes the literature research method, case study method, and practical verification method. The article discusses brand visual identity and motion graphics design principles. The article outlines dynamic brand visual identity design trends that digital information and AI enable. It explains AI generative models like GAN and diffusion models that generate graphics and effects. Examples like Stable Diffusion and Midjourney show AI's potential for diverse, abstract visuals in motion graphics. AI could also enable interactive effects by combining with AR/VR. Overall, AI can empower dynamic, personalized graphic design and branding. Key points are that dynamic design brings interactivity and better conveys brand meaning. Brand visual design is diversifying, with core brand image and dynamic performance reinforcing each other. AI can boost efficiency, innovation, and meaning in dynamic design. Though mainstream, 2D branding remains relevant. The article highlights the future potential of AI in motion graphics and visual storytelling, as it can generate new interpretations and experiences.