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       <dc:date>2026-04-18T07:25:11+00:00</dc:date>
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        <title>DCGAN</title>
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Tips

Information - Checkerboard Artifacts of Deconvolution

&lt;https://distill.pub/2016/deconv-checkerboard/&gt;


	*  Using upsampling instead of transposed convolution is recommended to avoid checkerboard artifacts

#nn.ConvTranspose2d(ngf, nc, 4, 2, 1, bias=False),
nn.Upsample(scale_factor=2, mode=&quot;nearest&quot;),
nn.Conv2d(ngf, nc, 3, 1, 1, bias=False),
nn.Tanh()</description>
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        <title>Diffusers</title>
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        <description>Diffusers

References

Diffusers:

&lt;https://huggingface.co/docs/diffusers/&gt;

&lt;https://github.com/huggingface/diffusers/&gt;


&lt;https://note.com/npaka/n/n1170de1604f3&gt;</description>
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        <title>Image Generation</title>
        <link>https://www.daiphys.com/portal/ml/imgen/index.html?rev=1768525680&amp;do=diff</link>
        <description>Image Generation


	* DCGAN
	* Diffusers
	* StyleGAN</description>
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        <title>StyleGAN</title>
        <link>https://www.daiphys.com/portal/ml/imgen/stylegan.html?rev=1768527630&amp;do=diff</link>
        <description>StyleGAN

References

NVIDIA Research Labs - StyleGAN2-ADA:

&lt;https://github.com/NVlabs/stylegan2-ada-pytorch&gt;</description>
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