Scene Structure

Scene structure research focuses on understanding and representing the spatial arrangement and relationships within visual scenes, aiming to enable more robust and intelligent computer vision systems. Current efforts concentrate on developing novel 3D scene reconstruction methods using techniques like Gaussian splatting, diffusion models, and neural radiance fields, often incorporating language guidance for enhanced control and semantic understanding. These advancements are crucial for applications ranging from autonomous navigation and augmented reality to video anomaly detection and generating realistic 3D scenes from limited input, impacting various fields including robotics, entertainment, and accessibility technologies.