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How does the identity weight affect the outcome? #249
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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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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?The text was updated successfully, but these errors were encountered: