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Thank you for sharing this wonderful work.
I have one simple question.
In the result visualizations, what is the meaning of fake_B_random and fake_B_encoded?
Thank you
The text was updated successfully, but these errors were encountered:
fake_B_random = G(A, z_random) where we sample a random vector and produce a random result.
fake_B_encoded = G(A, E(B)) where we encode B into E(B) and try to reconstruct the ground truth B.
Hi!
Thank you for sharing this wonderful work.
I have one simple question.
In the result visualizations, what is the meaning of fake_B_random and fake_B_encoded?
Thank you
The text was updated successfully, but these errors were encountered: