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Hi, thanks for the nice implementation. In your implementation for NoiseInjection, you have self.weight = nn.Parameter(torch.zeros(1, channel, 1, 1))
and you apply the noise by image + self.weight * noise
Hi, thanks for the nice implementation. In your implementation for
NoiseInjection
, you haveself.weight = nn.Parameter(torch.zeros(1, channel, 1, 1))
and you apply the noise by
image + self.weight * noise
But in Facebook's implmentation (https://github.com/facebookresearch/pytorch_GAN_zoo/blob/b75dee40918caabb4fe7ec561522717bf096a8cb/models/networks/styleGAN.py#L35), it looks like they scale the noise once and add the same noise to each channel?
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