SSDNeRF implements a single-stage diffusion-based approach to Neural Radiance Fields for simultaneously handling 3D scene generation and reconstruction. The method leverages diffusion models to enable single-view 3D reconstruction and unconditional 3D generation. The codebase reproduces all experiments from the paper including results on the KITTI Cars dataset and provides a GUI demo for visualization.