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Generative adversarial network: Difference between revisions
Generative adversarial network (view source)
Revision as of 14:06, 20 February 2020
, 20 February 2020→Variations
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However, weight clipping leads to other issues which limit the critic.<br> | However, weight clipping leads to other issues which limit the critic.<br> | ||
Instead of clipping, WGAN-GP proposes gradient penalty to enforce 1-Lipschitz . | Instead of clipping, WGAN-GP proposes gradient penalty to enforce 1-Lipschitz . | ||
===Progressive Growing of GANs (ProGAN)=== | |||
[https://arxiv.org/abs/1710.10196 Paper]<br> | |||
Progressively add layers to the generator and the discriminator of the GAN.<br> | |||
At the beginning, the generator makes a 4x4 image and the discriminator takes input the 4x4 image. | |||
Then, another layer is faded in the generator and the discriminator for and 8x8 image,... | |||
==Applications== | ==Applications== | ||