Visual Agent

Visual agents are AI systems designed to perceive and interact with the world through visual input, aiming to replicate aspects of human visual intelligence. Current research focuses on enhancing their reasoning capabilities, particularly by incorporating "fast" and "slow" thinking mechanisms and leveraging large language models (LLMs) to enable complex tasks like video generation, understanding, and editing. These advancements are improving performance on benchmarks and demonstrating potential for applications in areas such as video analysis, robotics, and interactive AI systems. The ultimate goal is to create more robust and generalizable visual agents capable of handling real-world complexities.