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FNeVR_demo

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PascalLiu commited on Jan 16, 2023

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53c99f8

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1 Parent(s): edf122c

Update app.py

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@@ -170,7 +170,7 @@ def drive_vi(source_image, driving_video, mode, find_best_frame, relative, adapt
 config = "config/vox-256.yaml"
 checkpoint = "00000099-checkpoint.pth.tar"
-cpu = False # decided by the deploying environment
 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)"
 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."

 config = "config/vox-256.yaml"
 checkpoint = "00000099-checkpoint.pth.tar"
+cpu = True # decided by the deploying environment
 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)"
 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."