This repository benchmarks state-of-the-art large-scale radiance field algorithms for unbounded scenes. It implements NeRF-based neural rendering techniques in PyTorch, achieving competitive PSNR results on benchmarks like Unbounded Tanks & Temples and Mip-NeRF-360. The project provides a simplified code base focused on achieving strong performance in neural rendering for 3D scene reconstruction and novel view synthesis.