Implicit Scene

Implicit scene representation focuses on encoding 3D scenes using neural networks, aiming for efficient and accurate scene understanding and novel view synthesis. Current research emphasizes developing robust and generalizable models, often leveraging neural radiance fields (NeRFs), Gaussian splatting, and signed distance functions (SDFs), with a growing interest in incorporating semantic information and handling dynamic scenes. This field is significant for advancing robotics, augmented/virtual reality, and autonomous driving, by enabling efficient 3D scene reconstruction, object manipulation, and navigation based on compact, learned representations.