Advertising Image

Research on advertising images focuses on improving the efficiency and effectiveness of image generation and understanding for e-commerce and sponsored search. Current efforts leverage generative models, including diffusion models and Control-Net architectures, often incorporating human feedback and multimodal alignment techniques to ensure high-quality, relevant, and identity-preserving images. This work is significant because it enhances the precision of targeted advertising, improves the user experience in online searches, and provides valuable insights into the relationship between consumer preferences and advertising exposure.