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Running
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Zero
Running
on
Zero
| 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} | |
| } | |