mlsanityData to 14 Oct 2026

GenKOL: Modular Generative AI Framework For Scalable Virtual KOL Generation

arXiv 2509.14927 ↗First posted 18 Sep 2025cs.CVcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 13 of its 16 references that are in the map. First posted on arXiv 18 Sep 2025.

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References · 13

  1. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  2. 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 18,863
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  7. 2023PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embeddingcited by 328
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  10. 2023Generative Models: What Do They Know? Do They Know Things? Let's Find Out!cited by 50
  11. 2024Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Modelcited by 45
  12. 2023DM-VTON: Distilled Mobile Real-time Virtual Try-Oncited by 5
1 more
  1. 2024Salient Object-Aware Background Generation using Text-Guided Diffusion Modelscited by 5

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