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Bookmark or Share- GitHub - TMElyralab/MuseTalk: MuseTalk: Real-Time High Quality Lip ...MuseTalk is a real-time high quality audio-driven lip-syncing model trained in the latent space of ft-mse-vae, which. modifies an unseen face according to the input audio, with a size of face region of 256 x 256. supports audio in various languages, such as Chinese, English, and Japanese. supports real-time inference with 30fps+ on an NVIDIA ...
- GitHub - saifhassan/Wav2Lip-HD: High-Fidelity Lip-Syncing with Wav2Lip ...The algorithm for achieving high-fidelity lip-syncing with Wav2Lip and Real-ESRGAN can be summarized as follows: The input video and audio are given to Wav2Lip algorithm. Python script is written to extract frames from the video generated by wav2lip. Frames are provided to Real-ESRGAN algorithm to improve quality.
- hecomi/uLipSync - GitHubuLipSync is an asset for lip-syncing in Unity. It has the following features: Utilizes Job System and Burst Compiler to run faster on any OS without using native plugins. Can be calibrated to create a per-character profile. Both runtime analysis and pre-bake processing are available.
- GitHub - AaronComo/LipFD: [NeurIPS 2024] This is the official repo of ...Our preliminary experiments have shown that the effectiveness of the existing methods often drastically decrease or even fail when tackling lip-syncing videos. In this paper, for the first time, we propose a novel approach dedicated to lip-forgery identification that exploits the inconsistency between lip movements and audio signals. We also ...
- Lip-Sync: A repository dedicated to improving lip-syncing using the ...This project is an implementation of lip-syncing using the Wav2Lip model. The primary goal of this project is to demonstrate the synchronization of an audio file with a video file, ensuring that the lip movements of the characters in the video are accurately matched with the corresponding audio file.
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