thegenerativegeneration commited on
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99ae188
1 Parent(s): 77f8572

Update app.py

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  1. app.py +1 -1
app.py CHANGED
@@ -171,7 +171,7 @@ def drive_vi(source_image, driving_video, mode, find_best_frame, best_frame, rel
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  config = "config/vox-256.yaml"
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  checkpoint = "00000099-checkpoint.pth.tar"
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- cpu = False # decided by the deploying environment
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  description = "We propose a Face Neural Volume Rendering (FNeVR) network for more realistic face animation, by taking the merits of 2D motion warping on facial expression transformation and 3D volume rendering on high-quality image synthesis in a unified framework.<br>[Paper](https://arxiv.org/abs/2209.10340) and [Code](https://github.com/zengbohan0217/FNeVR)"
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  im_description = "We can animate a face portrait by a single image in this tab.<br>Please input the origin face and the driving face which provides pose and expression information, then we can obtain the virtual generated face.<br>We can select \"adaptive scale\" parameter for better optic flow estimation using adaptive movement scale based on convex hull of keypoints."
 
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  config = "config/vox-256.yaml"
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  checkpoint = "00000099-checkpoint.pth.tar"
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+ cpu = True # decided by the deploying environment
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  description = "We propose a Face Neural Volume Rendering (FNeVR) network for more realistic face animation, by taking the merits of 2D motion warping on facial expression transformation and 3D volume rendering on high-quality image synthesis in a unified framework.<br>[Paper](https://arxiv.org/abs/2209.10340) and [Code](https://github.com/zengbohan0217/FNeVR)"
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  im_description = "We can animate a face portrait by a single image in this tab.<br>Please input the origin face and the driving face which provides pose and expression information, then we can obtain the virtual generated face.<br>We can select \"adaptive scale\" parameter for better optic flow estimation using adaptive movement scale based on convex hull of keypoints."