3D Scene Representation

3D scene representation aims to create computationally efficient and accurate digital models of real-world environments, crucial for applications like robotics, virtual reality, and autonomous driving. Current research heavily focuses on developing novel architectures, such as neural radiance fields (NeRFs) and Gaussian splatting (3DGS), to improve rendering speed, memory efficiency, and the ability to incorporate semantic information and handle dynamic scenes. These advancements are driving progress in areas like scene understanding, object detection, and robot navigation, ultimately impacting the development of more robust and intelligent systems.