Paper Notes: Cross-Domain Image Translation Based on GAN

1 GAN 1.1 Introduction To learn the generator’s distribution pg p g over data x, we define a prior on input noise variables pz(z) p z ( z ) , then represent a mapping to data space as G(z;θg) G ( z ;

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