wjl520 / face-swapping

Personal experiment about the project: https://github.com/taotaonice/FaceShifter.git

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face-swapping

  1. loss_attr: In the taotaonice's project, it's not proper for calculating the loss_attr by the feature of self.encoder(Xt) as the ground true (https://github.com/taotaonice/FaceShifter/blob/376b09e4ecc97848c07c585f173d10932880f961/network/AEI_Net.py#L125). It should utilize the pretrained vgg network for calculating the loss_attr between pred_loss and gt_loss. Refer to the link and download the pretrained vgg weight:
  2. datasets: generated images by stylegan and real images have different space distribution, affecting the swapped face result.

to be continue...

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Personal experiment about the project: https://github.com/taotaonice/FaceShifter.git

License:Apache License 2.0