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README.md

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-license: mit
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+---
+license: mit
+pretty_name: "Serpent"
+viewer: false
+---
+<h1 align="center">Serpent: Scalable and Efficient Image Restoration via Multi-scale Structured State Space Models</h1>
+<!-- <h3 align="center">Mohammad Shahab Sepehri, Zalan Fabian, Maryam Soltanolkotabi, Mahdi Soltanolkotabi</h3> -->
+
+<p align="center">
+  <a href="https://scholar.google.com/citations?user=j2scUKoAAAAJ&hl=en">Mohammad Shahab Sepehri</a> 
+  <a href="https://scholar.google.com/citations?user=5EKjsXQAAAAJ&hl=en">Zalan Fabian</a> 
+  <a href="https://scholar.google.com/citations?user=narJyMAAAAAJ&hl=en">Mahdi Soltanolkotabi</a> 
+</p>
+
+<p align="center">
+  | <a href="https://arxiv.org/abs/2403.17902">Paper</a> 
+  |
+  <a href="https://github.com/AIF4S/Serpent">Github Repository</a> 
+  |
+</p>
+
+
+[![License](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/license/MIT)
+
+<p align="justify" > 
+<strong>Serpent</strong> is a novel architecture for efficient image restoration that leverages state space models capable of modeling intricate long-range dependencies in high-resolution images with a favorable linear scaling in input dimension.
+  <br />
+You can download our pretrained models from this repository
+</p>
+
+## Usage
+You can find our code and instructions for using our pre-trained models on [our Github repository](https://github.com/AIF4S/Serpent).