LIAGM/DAEFR_test_datasets
We evaluate DAEFR on one synthetic dataset CelebA-Test, and two real-world datasets LFW-Test and WIDER-Test. Datasets Filename Short Description Source CelebA-Test (HQ) celeba_512_validation.zip 3000 (HQ) ground truth images for evaluation RestoreFormer CelebA-Test (LQ) self_celeba_512_v2.zip 3000 (LQ) synthetic images for testing Ourselves LFW-Test (LQ) lfw_cropped_faces.zip 1711 real-world images for testing VQFR… See the full description on the dataset page: https://huggingface.co/datasets/LIAGM/DAEFR_test_datasets.
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>celeba512validation.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>selfceleba512v2.zip</td> <td>3000 (LQ) synthetic images for testing</td> <td>Ourselves</td> </tr> <tr> <td>LFW-Test (LQ)</td> <td>lfwcropped_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>