Additional qualitative results of 500 random-samples on the AVSpeech test set. For every example (triplet of images) we show: (left) the original image, i.e., a representative frame from the video cropped around the person's face; (middle) the frontalized, lighting-normalized face decoder reconstruction from the VGG-Face feature extracted from the original image; (right) our Speech2Face reconstruction, computed by decoding the predicted VGG-Face feature from the audio.

* Note: Youtube ID is annotated on the top of each sample with the format of [<YoutubeID>_<Start time>-<End time>]

* Face2Face: Face reconstruction from original face image
* Speech2Face: Face reconstruction from audio
 
Original face Face2Face Speech2Face
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TggGvUGAVSk_228.440000-231.440000
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lj1HHjO_VMI_278.417833-281.454067
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sY6XP5taVCU_092.192100-097.864433
kKLNfnKgjNI_060.026633-069.936533
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1x2iq6Lix3Q_060.326933-065.231833
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