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<title>Revitalizing Convolutional Network for Image Restoration</title>
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<p><a href="https://paperswithcode.com/sota/image-dehazing-on-sots-indoor"><img src="https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/revitalizing-convolutional-network-for-image/image-dehazing-on-sots-indoor" alt="PWC"></a>
<a href="https://paperswithcode.com/sota/image-dehazing-on-sots-outdoor"><img src="https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/revitalizing-convolutional-network-for-image/image-dehazing-on-sots-outdoor" alt="PWC"></a>
<a href="https://paperswithcode.com/sota/image-dehazing-on-haze4k"><img src="https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/revitalizing-convolutional-network-for-image/image-dehazing-on-haze4k" alt="PWC"></a>
<a href="https://paperswithcode.com/sota/image-dehazing-on-i-haze"><img src="https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/revitalizing-convolutional-network-for-image/image-dehazing-on-i-haze" alt="PWC"></a>
<a href="https://paperswithcode.com/sota/image-dehazing-on-o-haze"><img src="https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/revitalizing-convolutional-network-for-image/image-dehazing-on-o-haze" alt="PWC"></a>
<a href="https://paperswithcode.com/sota/snow-removal-on-snow100k"><img src="https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/revitalizing-convolutional-network-for-image/snow-removal-on-snow100k" alt="PWC"></a>
<a href="https://paperswithcode.com/sota/snow-removal-on-srrs"><img src="https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/revitalizing-convolutional-network-for-image/snow-removal-on-srrs" alt="PWC"></a></p>
<h2 id="revitalizing-convolutional-network-for-image-restoration">Revitalizing Convolutional Network for Image Restoration</h2>
<p>The official pytorch implementation of the paper <strong><a href="https://ieeexplore.ieee.org/abstract/document/10571568">Revitalizing Convolutional Network for Image Restoration
(T-PAMI'24)</a></strong></p>
<h4 id="yuning-cui-wenqi-ren-xiaochun-cao-alois-knoll">Yuning Cui, Wenqi Ren, Xiaochun Cao, Alois Knoll</h4>
<h2 id="installation">Installation</h2>
<p>The project is built with PyTorch 3.8, PyTorch 1.8.1. CUDA 10.2, cuDNN 7.6.5
For installing, follow these instructions:</p>
<pre><code>conda install pytorch=1.8.1 torchvision=0.9.1 -c pytorch
pip install tensorboard einops scikit-image pytorch_msssim opencv-python
</code></pre>
<p>Install warmup scheduler:</p>
<pre><code>cd pytorch-gradual-warmup-lr/
python setup.py install
cd ..
</code></pre>
<h2 id="training-and-evaluation">Training and Evaluation</h2>
<p>Please refer to respective directories.</p>
<h2 id="results-download">Results [Download]</h2>
<table>
<thead>
<tr>
<th>Model</th>
<th>Parameters</th>
<th>FLOPs</th>
</tr>
</thead>
<tbody>
<tr>
<td><em>ConvIR-S (small)</em></td>
<td>5.53M</td>
<td>42.1G</td>
</tr>
<tr>
<td><strong>ConvIR-B (base)</strong></td>
<td>8.63M</td>
<td>71.22G</td>
</tr>
<tr>
<td><ins>ConvIR-L (large)</ins></td>
<td>14.83M</td>
<td>129.34G</td>
</tr>
</tbody>
</table>
<table>
<thead>
<tr>
<th>Task</th>
<th>Dataset</th>
<th>PSNR</th>
<th>SSIM</th>
</tr>
</thead>
<tbody>
<tr>
<td><strong>Image Dehazing</strong></td>
<td>SOTS-Indoor</td>
<td><em>41.53</em>/<strong>42.72</strong></td>
<td><em>0.996</em>/<strong>0.997</strong></td>
</tr>
<tr>
<td></td>
<td>SOTS-Outdoor</td>
<td><em>37.95</em>/<strong>39.42</strong></td>
<td><em>0.994</em>/<strong>0.996</strong></td>
</tr>
<tr>
<td></td>
<td>Haze4K</td>
<td><em>33.36</em></font>/<strong>34.15</strong>/<ins>34.50</ins></td>
<td><em>0.99</em>/<strong>0.99</strong>/<ins>0.99</ins></td>
</tr>
<tr>
<td></td>
<td>Dense-Haze</td>
<td><em>17.45</em>/<strong>16.86</strong></td>
<td><em>0.648</em>/<strong>0.621</strong></td>
</tr>
<tr>
<td></td>
<td>NH-HAZE</td>
<td><em>20.65</em>/<strong>20.66</strong></td>
<td><em>0.807</em>/<strong>0.802</strong></td>
</tr>
<tr>
<td></td>
<td>O-HAZE</td>
<td><em>25.25</em>/<strong>25.36</strong></td>
<td><em>0.784</em>/<strong>0.780</strong></td>
</tr>
<tr>
<td></td>
<td>I-HAZE</td>
<td><em>21.95</em>/<strong>22.44</strong></td>
<td><em>0.888</em>/<strong>0.887</strong></td>
</tr>
<tr>
<td></td>
<td>SateHaze-1k-Thin/Moderate/Thick</td>
<td><em>25.11</em>/<em>26.79</em>/<em>22.65</em></td>
<td><em>0.978</em>/<em>0.978</em>/<em>0.950</em></td>
</tr>
<tr>
<td></td>
<td>NHR</td>
<td><em>28.85</em>/<strong>29.49</strong></td>
<td><em>0.981</em>/<strong>0.983</strong></td>
</tr>
<tr>
<td></td>
<td>GTA5</td>
<td><em>31.68</em>/<strong>31.83</strong></td>
<td><em>0.917</em>/<strong>0.921</strong></td>
</tr>
<tr>
<td><strong>Image Desnowing</strong></td>
<td>CSD</td>
<td><em>38.43</em>/<strong>39.10</strong></td>
<td><em>0.99</em>/<strong>0.99</strong></td>
</tr>
<tr>
<td></td>
<td>SRRS</td>
<td><em>32.25</em>/<strong>32.39</strong></td>
<td><em>0.98</em>/<strong>0.98</strong></td>
</tr>
<tr>
<td></td>
<td>Snow100K</td>
<td><em>33.79</em>/<strong>33.92</strong></td>
<td><em>0.95</em>/<strong>0.96</strong></td>
</tr>
<tr>
<td><strong>Image Deraining</strong></td>
<td>Test100</td>
<td><ins>31.40</u></td>
<td><ins>0.919</ins></td>
</tr>
<tr>
<td></td>
<td>Test2800</td>
<td><ins>33.73</ins></td>
<td><ins>0.937</ins></td>
</tr>
<tr>
<td><strong>Defocus Deblurring</strong></td>
<td>DPDD</td>
<td><em>26.06</em>/<strong>26.16</strong>/<ins>26.36</ins></td>
<td><em>0.810</em>/<strong>0.814</strong>/<ins>0.820</ins></td>
</tr>
<tr>
<td><strong>Motion Deblurring</strong></td>
<td>GoPro</td>
<td><ins>33.28</ins></td>
<td><ins>0.963</ins></td>
</tr>
<tr>
<td></td>
<td>RSBlur</td>
<td><ins>34.06</ins></td>
<td><ins>0.868</ins></td>
</tr>
</tbody>
</table>
<h2 id="citation">Citation</h2>
<pre><code>@article{cui2024revitalizing,
title={Revitalizing Convolutional Network for Image Restoration},
author={Cui, Yuning and Ren, Wenqi and Cao, Xiaochun and Knoll, Alois},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
year={2024},
publisher={IEEE}
}
@inproceedings{cui2023irnext,
title={IRNeXt: Rethinking Convolutional Network Design for Image Restoration},
author={Cui, Yuning and Ren, Wenqi and Yang, Sining and Cao, Xiaochun and Knoll, Alois},
booktitle={International Conference on Machine Learning},
pages={6545--6564},
year={2023},
organization={PMLR}
}
</code></pre>
<h2 id="contact">Contact</h2>
<p>Should you have any problem, please contact Yuning Cui.</p>
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