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---
license: apache-2.0
---
We evaluate DAEFR on one synthetic dataset **CelebA-Test**, and two real-world datasets **LFW-Test** and **WIDER-Test**.
<table>
<tr>
<th>Datasets</th>
<th>Filename</th>
<th>Short Description</th>
<th>Source</th>
</tr>
<tr>
<td>CelebA-Test (HQ)</td>
<td>celeba_512_validation.zip</td>
<td>3000 (HQ) ground truth images for evaluation</td>
<td><a href="https://github.com/wzhouxiff/RestoreFormer">RestoreFormer</a></td>
</tr>
<tr>
<td>CelebA-Test (LQ)</td>
<td>self_celeba_512_v2.zip</td>
<td>3000 (LQ) synthetic images for testing</td>
<td>Ourselves</td>
</tr>
<tr>
<td>LFW-Test (LQ)</td>
<td>lfw_cropped_faces.zip</td>
<td>1711 real-world images for testing</td>
<td><a href="https://github.com/TencentARC/VQFR">VQFR</a></td>
</tr>
<tr>
<td>WIDER-Test (LQ)</td>
<td>Wider-Test.zip</td>
<td>970 real-world images for testing</td>
<td><a href="https://shangchenzhou.com/projects/CodeFormer/">CodeFormer</a></td>
</tr>
</table> |