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---
title: RAM Plus Plus
emoji: π
colorFrom: pink
colorTo: gray
sdk: gradio
sdk_version: 5.46.0
app_file: app.py
pinned: false
short_description: 'RAM++: Robust Representation Learning via Adaptive Mask'
---
# RAM++
Online demo for **RAM++: Robust Representation Learning via Adaptive Mask for All-in-One Image Restoration**.
At inference we use **RestormerRFR** (restoration backbone) + **DINOv2** semantic features for robust, content-aware restoration across noise, blur, compression artifacts, low-light, and mixed degradations.
## What you can do
- Upload a **JPEG/PNG** β click **Run (ZeroGPU)** β get the restored image.
- Use the provided **Examples** to try quickly.
- Call the **API** for batch processing.
## Citation
```bibtex
@misc{zhang2025ramrobustrepresentationlearning,
title = {RAM++: Robust Representation Learning via Adaptive Mask for All-in-One Image Restoration},
author = {Zilong Zhang and Chujie Qin and Chunle Guo and Yong Zhang and Chao Xue and Ming-Ming Cheng and Chongyi Li},
year = {2025},
eprint = {2509.12039},
archivePrefix= {arXiv},
primaryClass = {cs.CV},
url = {https://arxiv.org/abs/2509.12039}
}
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