HumanRF is a neural rendering method that reconstructs moving humans in 3D using multi-view camera sequences. It leverages neural networks to represent scene geometry and appearance as continuous radiance fields, enabling novel view synthesis of human performance. The project includes training code, data loaders for the ActorsHQ dataset, and inference pipelines for rendering free-viewpoint video of captured subjects.