Thanks for your wonderful work and opening the source codes. I have implemented the training codes. To make the background stable, I predict the mask and merge the generated image with the target image as https://github.com/neuralchen/SimSwap/blob/39e0c2ea53a94120092ba8ed45f66e8258323e00/models/networks.py#L559 However, it seems hard to train, the generated image is totally similar to the target image and doesn't swap the face. I have trained 500K iterations. Do you have any idea to solve this problem?
The generated images are in the third row.
Thanks for your wonderful work and opening the source codes. I have implemented the training codes. To make the background stable, I predict the mask and merge the generated image with the target image as https://github.com/neuralchen/SimSwap/blob/39e0c2ea53a94120092ba8ed45f66e8258323e00/models/networks.py#L559 However, it seems hard to train, the generated image is totally similar to the target image and doesn't swap the face. I have trained 500K iterations. Do you have any idea to solve this problem?

The generated images are in the third row.
Thanks for your attention to our work. I recomment you to use the default mode "opt.model == 'pix2pixHD" to reprodeuce the base performance. Because I couldn't see your code, I couldn't locate the specific problem. You can first try the default mode to see if the results can be produced. If the results still cannot be produced, please let me know and I will help you further solve the problem. Many thanks~.
Thanks for your attention to our work. I recomment you to use the default mode "opt.model == 'pix2pixHD" to reprodeuce the base performance. Because I couldn't see your code, I couldn't locate the specific problem. You can first try the default mode to see if the results can be produced. If the results still cannot be produced, please let me know and I will help you further solve the problem. Many thanks~.
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Thanks for your wonderful work and opening the source codes. I have implemented the training codes. To make the background stable, I predict the mask and merge the generated image with the target image as https://github.com/neuralchen/SimSwap/blob/39e0c2ea53a94120092ba8ed45f66e8258323e00/models/networks.py#L559 However, it seems hard to train, the generated image is totally similar to the target image and doesn't swap the face. I have trained 500K iterations. Do you have any idea to solve this problem?

The generated images are in the third row.
Thanks for your attention to our work. I recomment you to use the default mode "opt.model == 'pix2pixHD" to reprodeuce the base performance. Because I couldn't see your code, I couldn't locate the specific problem. You can first try the default mode to see if the results can be produced. If the results still cannot be produced, please let me know and I will help you further solve the problem. Many thanks~.
hi,can you share your training code?
i'm appreciate for receiving your reply!