This repository provides a faithful PyTorch reimplementation of the original NeRF paper that reproduces results while running 1.3x faster. NeRF uses a multilayer perceptron (MLP) to represent scene radiance and density from sparse input views, enabling high-quality novel view synthesis through volume rendering. The implementation supports training on custom datasets using the LLFF data loader and produces videos of synthesized camera trajectories.