Visual Prompt

Visual prompting is a rapidly evolving technique that enhances the capabilities of large language and vision-language models by providing visual instructions, such as points, boxes, masks, or even entire images, alongside textual prompts. Current research focuses on improving model performance in tasks like image segmentation, object recognition, and question answering through various methods including prompt optimization, multi-representation learning, and the integration of external knowledge sources. This approach offers significant potential for improving the efficiency and accuracy of multimodal AI systems, impacting diverse fields from medical image analysis to remote sensing and creative applications like text-to-image and text-to-3D generation.