Comments (1)
thank you for your interest!
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As i know, specific implementation is not referred in the cGAN paper. But the Figure 1 at page 3,
y
vector is used as the same manner. so, i guess the author maybe used the same condition label for both of them. -
actually, i think there's no need to be trained with the same condition label for both G and D. In the aspect of the implementing the code, using the same condition label is easier than the different condition label (cuz we need to generate another sample for D). and i also think using the same condition label can lead more stable training and is more make sense for the purpose of D (it is not sure 100%).
thank you in advance!
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