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How does the identity weight affect the outcome? #249

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taki0112 opened this issue Apr 25, 2018 · 1 comment
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How does the identity weight affect the outcome? #249

taki0112 opened this issue Apr 25, 2018 · 1 comment

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@taki0112
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How does the identity weight affect the outcome?

For the current code, you gave a weight of 0.5
Did you try this when you gave it 1? What's the difference?

@taesungp
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It does not result in a big difference.

With higher identity loss, the image translation becomes more conservative, so it makes less changes. I tried using values like 0.1, 0.5, 1 and 10, and the result is not so different. I believe this is because the generator figures out essentially two different translation functions by detecting whether the input image is from the source dataset or the target dataset.

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