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Supasorn Suwajanakorn | Teaser -- Synthesizing Obama: Learning Lip Sync from Audio @SupasornSuwajanakorn | Uploaded 7 years ago | Updated 1 hour ago
Synthesizing Obama: Learning Lip Sync from Audio
Supasorn Suwajanakorn, Steven M. Seitz, Ira Kemelmacher-Shlizerman
SIGGRAPH 2017

Full Video: youtube.com/watch?v=9Yq67CjDqvw

Given audio of President Barack Obama, we synthesize a high quality video of him speaking with accurate lip sync, composited into a target video clip. Trained on many hours of his weekly address footage, a recurrent neural network learns the mapping from raw audio features to mouth shapes. Given the mouth shape at each time instant, we synthesize high quality mouth texture, and composite it with proper 3D pose matching to change what he appears to be saying in a target video to match the input audio track

http://grail.cs.washington.edu/projects/AudioToObama/
Teaser   Synthesizing Obama: Learning Lip Sync from AudioTotal Moving Face ReconstructionIllumination-Aware Age ProgressionDiscovery of Latent 3D Keypoints via End-to-end Geometric Reasoning (NIPS 2018)Illumination-Aware Age ProgressionGoogle Cardboard VR Positional Tracking (outside-in, tethered)What Makes Tom Hanks Look Like Tom Hanksthis. is. real-time.

Teaser -- Synthesizing Obama: Learning Lip Sync from Audio @SupasornSuwajanakorn

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