Vision Generalist

Vision generalists are AI models designed to perform a wide range of computer vision tasks from a single, unified framework, rather than requiring separate models for each task. Current research focuses on developing robust and adaptable architectures, such as those based on diffusion models and incorporating large language models for instruction following and multimodal understanding, often leveraging pre-trained vision models and adapting them to specific needs. This approach promises to improve efficiency and generalization in medical imaging, industrial anomaly detection, and other applications by reducing the need for extensive task-specific training data and simplifying the development process.