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The original paper mentions a residual connection in the generator, and probably I guess that is why you used tanh instead of sigmoid in the generator output. But the given code in the file
SinGAN/models.py
does not seem to contain any residual connections.
The text was updated successfully, but these errors were encountered:
line 63 in SinGAN/models.py: "return x+y" performs summation between the learned output to the clean input image, as described in the paper (see figure 5: https://arxiv.org/pdf/1905.01164.pdf)
The original paper mentions a residual connection in the generator, and probably I guess that is why you used tanh instead of sigmoid in the generator output. But the given code in the file
SinGAN/models.py
does not seem to contain any residual connections.
The text was updated successfully, but these errors were encountered: