3D Visual Understanding

3D visual understanding aims to enable computers to interpret and reason about three-dimensional scenes, bridging the gap between 2D images and a comprehensive understanding of spatial relationships and object properties. Current research focuses on leveraging large language and vision models, often adapting pre-trained 2D models to 3D data or integrating them into hybrid architectures that combine textual and visual information for tasks like scene description, question answering, and interactive planning. These advancements are significant because they pave the way for more robust and versatile AI systems capable of interacting with and understanding complex 3D environments, with applications ranging from robotics and augmented reality to virtual world design.