This is a 288x288 wav2lip model version.

test environment

Ubuntu22.04 Python3.10.13

The original repo: https://github.com/Rudrabha/Wav2Lip Some Features I will implement here

• input size 288x288
• PRelu
• LeakyRelu
• Gradient penalty
• Wasserstein Loss
• [] wav2lip_384
• [] wav2lip_512
• [] syncnet_192
• [] syncnet_384
• [] 2TUnet instead of simple unet in wav2lip original: https://arxiv.org/abs/2210.15374
• [] MSG-UNet: https://github.com/laxmaniron/MSG-U-Net
• [] SAM-UNet: https://github.com/1343744768/Multiattention-UNet
  I trained my own model on AVSPEECH dataset and then transfer learning with my private dataset.

Citing

To cite this repository:

@misc{Wav2Lip,
  author={Rudrabha},
  title={Wav2Lip: Accurately Lip-syncing Videos In The Wild},
  year={2020},
  url={https://github.com/Rudrabha/Wav2Lip}
}