This repository contains the official code release for NeRF (Neural Radiance Fields), a deep learning method that uses a neural network to represent scenes as continuous 3D radiance fields. The model takes 2D images with camera poses as input and trains a multi-layer perceptron to predict volumetric density and color at any 3D point, enabling photorealistic novel view synthesis. The code includes training scripts, data loaders for LLFF format, and pre-trained example scenes.