This repository provides the official PyTorch implementation of DiffusionDet, applying diffusion models to object detection tasks. The approach frames object detection as a denoising diffusion process where bounding boxes are refined from random noise over multiple steps. It supports multiple backbone architectures including ResNet and Swin Transformer, and evaluates on COCO and LVIS benchmarks. The work was published at ICCV 2023.