GenKOL: Modular Generative AI Framework For Scalable Virtual KOL Generation
This addresses the problem of expensive and slow marketing content creation for marketing professionals, though it appears incremental as it applies existing AI methods to a new domain.
The paper tackles the high costs and logistical challenges of collaborating with human Key Opinion Leaders (KOLs) in marketing by introducing GenKOL, an interactive system that generates high-quality virtual KOL images using generative AI, enabling efficient production of promotional visuals.
Key Opinion Leader (KOL) play a crucial role in modern marketing by shaping consumer perceptions and enhancing brand credibility. However, collaborating with human KOLs often involves high costs and logistical challenges. To address this, we present GenKOL, an interactive system that empowers marketing professionals to efficiently generate high-quality virtual KOL images using generative AI. GenKOL enables users to dynamically compose promotional visuals through an intuitive interface that integrates multiple AI capabilities, including garment generation, makeup transfer, background synthesis, and hair editing. These capabilities are implemented as modular, interchangeable services that can be deployed flexibly on local machines or in the cloud. This modular architecture ensures adaptability across diverse use cases and computational environments. Our system can significantly streamline the production of branded content, lowering costs and accelerating marketing workflows through scalable virtual KOL creation.