Large Scale 3D Reconstruction

Large-scale 3D reconstruction aims to create detailed three-dimensional models of extensive environments from various data sources, such as images and LiDAR scans. Current research heavily utilizes Gaussian splatting, a novel rendering technique, often enhanced with techniques like federated learning for scalability and incorporating geometric and texture refinement for improved accuracy. This field is crucial for applications ranging from autonomous driving and robotics to virtual and augmented reality, driving advancements in both algorithm design and data processing efficiency.