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@@ -67,10 +67,10 @@ MuseTalk was trained in latent spaces, where the images were encoded by a freeze
<img src=assets/demo/sit/sit.jpeg width="95%"> <img src=assets/demo/sit/sit.jpeg width="95%">
</td> </td>
<td > <td >
<video src=https://github.com/TMElyralab/MuseTalk/assets/163980830/04365bdf-4fe2-4969-b3f5-6c67153bf292 controls preload></video> <video src=https://github.com/TMElyralab/MuseTalk/assets/163980830/5fbab81b-d3f2-4c75-abb5-14c76e51769e controls preload></video>
</td> </td>
<td > <td >
<video src=https://github.com/TMElyralab/MuseTalk/assets/163980830/00dccd1a-ae07-435d-84a0-b646041bfe38 controls preload></video> <video src=https://github.com/TMElyralab/MuseTalk/assets/163980830/f8100f4a-3df8-4151-8de2-291b09269f66 controls preload></video>
</td> </td>
</tr> </tr>
<tr> <tr>
@@ -140,6 +140,21 @@ MuseTalk was trained in latent spaces, where the images were encoded by a freeze
* For video dubbing, we applied a self-developed tool which can detect the talking person. * For video dubbing, we applied a self-developed tool which can detect the talking person.
## Some interesting videos!
<table class="center">
<tr style="font-weight: bolder;text-align:center;">
<td width="50%">Image</td>
<td width="50%">MuseV + MuseTalk</td>
</tr>
<tr>
<td>
<img src=assets/demo/video1/video1.png width="95%">
</td>
<td>
<video src=https://github.com/TMElyralab/MuseTalk/assets/163980830/1f02f9c6-8b98-475e-86b8-82ebee82fe0d controls preload></video>
</td>
</tr>
</table>
# TODO: # TODO:
- [x] trained models and inference codes. - [x] trained models and inference codes.