Neuralangelo reconstructs high-fidelity 3D surfaces from RGB images using neural implicit representations with multi-resolution hash encoding. The method builds on the Imaginaire deep learning library and uses COLMAP for camera pose estimation and multi-view stereo preprocessing. It supports generation of meshes from captured images through differentiable volumetric rendering.