| --- |
| license: mit |
| pipeline_tag: image-to-image |
| tags: |
| - image-super-resolution |
| - real-world-sr |
| - diffusion |
| - one-step-diffusion |
| - aaai-2026 |
| --- |
| |
| # Realism Control One-step Diffusion for Real-World Image Super-Resolution (RCOD) |
|
|
| Official pretrained model checkpoints for **RCOD** (AAAI 2026). |
|
|
| - **GitHub Repository**: [https://github.com/Zongliang-Wu/RCOD](https://github.com/Zongliang-Wu/RCOD) |
| - **Project Page**: [https://zongliang-wu.github.io/RCOD-SR/](https://zongliang-wu.github.io/RCOD-SR/) |
|
|
| ## Checkpoints Included |
|
|
| | File | Base Architecture | Description | |
| | :--- | :--- | :--- | |
| | `rcod_o.pkl` | OSEDiff (SD 2.1) | Unified RCOD-O denoiser with LDG (Fidelity / Neutral / Realism) | |
| | `rcod_s.pkl` | S3Diff (SD-Turbo) | Unified RCOD-S denoiser with LDG (Fidelity / Neutral / Realism) | |
| | `rcod_s_mem.pkl` | MLP | Metric Estimation Module (MEM) for adaptive realism selection | |
|
|
| ## External Dependencies |
|
|
| For training and external components, please download the respective third-party models from their original authors: |
| - **DAPE (`DAPE.pth`)**: Domain-Adaptive Prior Extractor from [OSEDiff / DAPE](https://github.com/cswry/OSEDiff). |
| - **RAM (`ram_swin_large_14m.pth`)**: Recognize Anything Model from [xinyu1205/recognize-anything](https://huggingface.co/xinyu1205/recognize-anything-plus-model). |
| - **de_net (`de_net.pth`)**: Degradation Estimator from [S3Diff](https://github.com/ArcticHare105/S3Diff) (included in `RCOD_S/assets/mm-realsr/`). |
| |
| ## Quick Download |
| |
| ```bash |
| # Using huggingface-cli |
| pip install huggingface_hub |
| huggingface-cli download MMQDD/RCOD --local-dir weights/ |
| ``` |
| |
