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Videoretalking
Overview :
VideoReTalking is a novel system that can edit real-world talking head videos to produce high-quality lip-sync output videos based on input audio, even with varying emotions. The system breaks down this goal into three consecutive tasks: (1) Generating facial videos with normalized expressions using an expression editing network; (2) Audio-driven lip-sync synchronization; (3) Facial enhancement to improve photorealism. Given a talking head video, we first use an expression editing network to modify the expressions of each frame according to a standardized expression template, resulting in a video with normalized expressions. This video is then input into a lip-sync network along with the given audio to generate a lip-sync video. Finally, we use an identity-aware facial enhancement network and post-processing to enhance the photorealism of the synthesized face. We utilize learning-based methods for all three steps, and all modules can be processed sequentially in a pipeline without any user intervention.
Target Users :
Suitable for video editing scenarios requiring audio-driven lip-sync, applicable to film, TV, advertising and more.
Use Cases
A film producer uses VideoReTalking to edit the dialogue of characters in a film, achieving high-quality lip-sync.
An advertising company uses VideoReTalking to create advertisements, ensuring the actors' mouth movements perfectly match the audio.
A TV show producer uses VideoReTalking to edit the dialogue of characters in a TV show, achieving high-quality lip-sync.
Features
Audio-driven lip-sync
Facial enhancement
Expression editing
High-quality lip-sync video generation
No user intervention required
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