Difix3D+ is a computer vision research project that leverages single-step diffusion models to enhance 3D reconstruction quality from 2D images. It combines Gaussian splatting and NeRF (Neural Radiance Fields) techniques with diffusion-based image enhancement. The method takes a degraded image and uses a diffusion prior to produce improved 3D scene representations, with options to incorporate reference images for guided denoising. The implementation builds on the Hugging Face diffusers library and provides pretrained models on Hugging Face Hub.