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Annotated Deep Learning Paper Implementations
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Annotated Deep Learning Paper Implementations
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前往新版Gitcode,体验更适合开发者的 AI 搜索 >>
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a00fc0a8
编写于
1月 23, 2021
作者:
V
Varuna Jayasiri
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docs/gan/cycle_gan.html
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labml_nn/gan/cycle_gan.py
labml_nn/gan/cycle_gan.py
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未找到文件。
docs/gan/cycle_gan.html
浏览文件 @
a00fc0a8
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@@ -72,7 +72,7 @@
<h1>
Cycle GAN
</h1>
<p>
This is an implementation of paper
<a
href=
"https://arxiv.org/abs/1703.10593"
>
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
</a>
.
</p>
<p>
I
’
ve taken pieces of code from
<a
href=
"https://github.com/eriklindernoren/PyTorch-GAN"
>
https://github.com/
eriklindernoren/PyTorch-GAN
</a>
.
<p>
I
’
ve taken pieces of code from
<a
href=
"https://github.com/eriklindernoren/PyTorch-GAN"
>
eriklindernoren/PyTorch-GAN
</a>
.
It is a very good resource if you want to checkout other GAN variations too.
</p>
<p>
Cycle GAN does image-to-image translation.
It trains a model to translate an image from given distribution to another, say images of class A and B
...
...
labml_nn/gan/cycle_gan.py
浏览文件 @
a00fc0a8
...
...
@@ -11,7 +11,7 @@ summary: >
This is an implementation of paper
[Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks](https://arxiv.org/abs/1703.10593).
I've taken pieces of code from [
https://github.com/
eriklindernoren/PyTorch-GAN](https://github.com/eriklindernoren/PyTorch-GAN).
I've taken pieces of code from [eriklindernoren/PyTorch-GAN](https://github.com/eriklindernoren/PyTorch-GAN).
It is a very good resource if you want to checkout other GAN variations too.
Cycle GAN does image-to-image translation.
...
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