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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 15:32, 14 January 2020
, 14 January 2020→Generator
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Note: This generator is similar to pix2pix.<br> | Note: This generator is similar to pix2pix.<br> | ||
They use 32 kernels per block at the coarsest scale and increase <math>2 \times</math> every 4 scales.<br> | They use 32 kernels per block at the coarsest scale and increase <math>2 \times</math> every 4 scales.<br> | ||
This means their convolutional layers have an input and output of 32 channels. | |||
====[https://arxiv.org/pdf/1502.03167.pdf Batch Normalization]==== | ====[https://arxiv.org/pdf/1502.03167.pdf Batch Normalization]==== | ||