NICE-SLAM (Neural Implicit Scalable Encoding for SLAM) is a research system that reconstructs dense 3D geometry and tracks camera pose simultaneously using neural implicit representations learned via deep learning. It operates on RGB-D input to produce metric 3D maps without pre-trained models, with applications in robotics navigation and augmented reality.