English
KeySync is a leak-free lip synchronization framework for high-resolution videos. It solves the problem of time consistency in traditional lip synchronization techniques while handling expression leakage and facial occlusion with a clever masking strategy. The advantages of KeySync are reflected in its advanced achievements in lip reconstruction and cross-synchronization, and are suitable for practical application scenarios such as automatic dubbing.
Demand population:
"Fit for researchers and developers, especially in the fields of automated video production, game development, film and television post-production, etc. KeySync 's leak-free lip synchronization technology improves video quality and user experience, and is suitable for creators of high-quality content."
Example of usage scenarios:
Use KeySync to synchronize lip shapes for animated characters in automatic dubbing projects.
Apply KeySync in video games to enhance the realism of character conversations.
Use KeySync to improve the audio and video synchronization quality in film and television post-production.
Product Features:
Achieve high-quality lip synchronization and improve visual effects.
Handle facial occlusion in video to enhance practical application effects.
To reduce expression leaks, use the LipLeak metric for evaluation.
Supports a variety of audio input formats, including Wav and Hubert.
Provide interactive online demonstrations for user experience.
Provides locally run inference scripts suitable for long video processing.
Allows users to train custom models to adapt to different needs.
Includes evaluation tool LipScore, which facilitates quality inspection.
Tutorials for use:
Create a Conda environment and activate: conda create -n KeySync python=3.11, conda activate KeySync .
Install the necessary dependencies: python -m pip install -r requirements.txt --no-deps.
Download the pretrained model: git lfs install, git clone https://huggingface.co/toninio19/KeySync pretrained_models.
Prepare the data, place the video file in data/videos/ and the audio file in data/audios/.
Run the inference script for lip synchronization: bash scripts/infer_raw_data.sh --filelist 'data/videos' --file_list_audio 'data/audios' --output_folder 'my_animations'.
