Poster Generation for Events Using Generative AI
Year: 2025
Type: conference-paper
Abstract: The rapid advancement of generative artificial intelligence (AI) has unlocked new possibilities across various industries, particularly in creative design. One of the most promising applications is automated event poster creation, where AI-powered systems streamline the traditionally time-consuming design process. By leveraging techniques like Generative Adversarial Networks (GANs) and transformer-based models, AI can generate high-quality, visually appealing posters based on user inputs such as event details, themes, and branding preferences. This approach reduces reliance on human expertise while ensuring customization and personalization, making professional design accessible to individuals and businesses with limited resources Our proposed system embeds generative AI into event management platforms which will aid in optimizing efficiency, scalability, and cost efficiency. As with any application, questions remain regarding issues of data bias, copyright, and user experience adjustments. Exciting trends will undoubtedly occur, with advances in AI-assisted trend analysis, dynamic video posters, and augmented reality (AR). Generative AI can automate and improve the poster creation process, and by doing so, it can assist in enhancing the event marketing process in more intelligent, intuitive, and inclusive ways.
Authors: Siby, Alen, Devis, Jinson
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6930639980
FWCI:
Cites:
Cited by:
Related to: