FlashLips delivers 100+ FPS mask-free lip-sync by reconstructing target frames in latent space from an audio-predicted lips-pose vector using a compact U-Net trained solely on reconstruction losses and self-supervised mask removal.
To- wards accurate generative models of video: A new metric & challenges, 2019
2 Pith papers cite this work. Polarity classification is still indexing.
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Tora3 uses shared object trajectories as kinematic priors to jointly guide visual motion and acoustic events in audio-video generation, improving realism and synchronization.
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FlashLips: 100-FPS Mask-Free Latent Lip-Sync using Reconstruction Instead of Diffusion or GANs
FlashLips delivers 100+ FPS mask-free lip-sync by reconstructing target frames in latent space from an audio-predicted lips-pose vector using a compact U-Net trained solely on reconstruction losses and self-supervised mask removal.
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Tora3: Trajectory-Guided Audio-Video Generation with Physical Coherence
Tora3 uses shared object trajectories as kinematic priors to jointly guide visual motion and acoustic events in audio-video generation, improving realism and synchronization.