Image Personalization

Image personalization focuses on adapting image generation models to create images tailored to specific individuals or styles, often using a combination of text prompts and reference images. Current research emphasizes developing efficient and high-fidelity methods, often leveraging diffusion models and incorporating techniques like embedding modules, multimodal condition integration, and layout guidance to control subject identity and action while preserving image quality. This field is significant for advancing both computer vision and human-computer interaction, with applications ranging from personalized photo editing and avatar creation to more sophisticated tasks like video editing and brain-computer interfaces.