This repository provides the official implementation of DreamClear, a high-capacity image restoration method using diffusion transformers. It addresses real-world degradation scenarios including blur, noise, and low resolution, while introducing a privacy-safe approach to dataset curation for training. The model is published at NeurIPS 2024 and weights are available on HuggingFace.