SadTalker
An audio-driven talking head generation model that maps audio features to 3D motion coefficients to animate facial expressions and lip movements. It produces digital human videos with natural lip synchronization and facial expressions, and is used in applications such as virtual avatars and automated video generation from audio input.
Timeline (last 90 days)
Models specifically optimized for lip-sync such as Wav2Lip and SadTalker have significantly improved naturalness and stability.
Lip-sync requires an additional driving network (such as SadTalker or Wav2Lip) to align audio waveforms with facial keypoint animation, making it more complex than plain speech synthesis.
All Facts (3)
Deep learning-based avatar driving solutions include models such as Audio2Face and SadTalker, which can directly generate facial animations from audio.
60%UnverifiedModels specifically optimized for lip-sync such as Wav2Lip and SadTalker have significantly improved naturalness and stability.
50%UnverifiedLip-sync requires an additional driving network (such as SadTalker or Wav2Lip) to align audio waveforms with facial keypoint animation, making it more complex than plain speech synthesis.
50%