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SinGAN: Learning a Generative Model from a Single Natural Image: Difference between revisions
SinGAN: Learning a Generative Model from a Single Natural Image (view source)
Revision as of 18:45, 6 December 2019
, 6 December 2019→Adversarial Loss
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This drops the log from the traditional cross-entropy loss.<br> | This drops the log from the traditional cross-entropy loss.<br> | ||
<math>\min_{G_n}\max_{D_n}L_{adv}(G_n, D_n)+\alpha L_{rec}(G_n)</math><br> | <math>\min_{G_n}\max_{D_n}L_{adv}(G_n, D_n)+\alpha L_{rec}(G_n)</math><br> | ||
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The final loss is the average over all the patches.<br> | The final loss is the average over all the patches.<br> | ||
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<syntaxhighlight lang="python"> | <syntaxhighlight lang="python"> | ||