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Add metadata about GAN modules and update link to arxiv paper.
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# Module google/compare_gan/model_10_lsun_bedroom_resnet19/1
ResNet19 trained on LSUN Bedroom (FID: 40.36).

<!-- module-type: image-generator -->
<!-- network-architecture: ResNet19 -->
<!-- dataset: LSUN Bedroom -->

**Module URL:** [https://tfhub.dev/google/compare_gan/model_10_lsun_bedroom_resnet19/1](https://tfhub.dev/google/compare_gan/model_10_lsun_bedroom_resnet19/1)

[![Open Colab notebok](../../../../images/open_in_colab.png)](https://colab.research.google.com/github/google/compare_gan/blob/master/compare_gan/src/tfhub_models.ipynb)
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## References

[1] Karol Kurach*, Mario Lucic*, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly.
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://openreview.net/pdf?id=SkeFUsQNx7).
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://arxiv.org/abs/1807.04720).
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# Module google/compare_gan/model_11_cifar10_resnet_cifar/1
ResNet CIFAR trained on CIFAR10 (FID: 28.12).
ResNet CIFAR trained on CIFAR-10 (FID: 28.12).

<!-- module-type: image-generator -->
<!-- network-architecture: ResNet CIFAR -->
<!-- dataset: CIFAR-10 -->

**Module URL:** [https://tfhub.dev/google/compare_gan/model_11_cifar10_resnet_cifar/1](https://tfhub.dev/google/compare_gan/model_11_cifar10_resnet_cifar/1)

Expand All @@ -16,7 +20,7 @@ View all available compare_gan modules in the [Colab notebook](https://colab.res

#### Details

* Dataset: CIFAR10
* Dataset: CIFAR-10
* Model: Non-saturating GAN
* Architecture: ResNet CIFAR
* Optimizer: Adam (lr=2.000e-04, beta1=0.500, beta2=0.999)
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## References

[1] Karol Kurach*, Mario Lucic*, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly.
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://openreview.net/pdf?id=SkeFUsQNx7).
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://arxiv.org/abs/1807.04720).
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# Module google/compare_gan/model_12_cifar10_resnet_cifar/1
ResNet CIFAR trained on CIFAR10 (FID: 30.08).
ResNet CIFAR trained on CIFAR-10 (FID: 30.08).

<!-- module-type: image-generator -->
<!-- network-architecture: ResNet CIFAR -->
<!-- dataset: CIFAR-10 -->

**Module URL:** [https://tfhub.dev/google/compare_gan/model_12_cifar10_resnet_cifar/1](https://tfhub.dev/google/compare_gan/model_12_cifar10_resnet_cifar/1)

Expand All @@ -16,7 +20,7 @@ View all available compare_gan modules in the [Colab notebook](https://colab.res

#### Details

* Dataset: CIFAR10
* Dataset: CIFAR-10
* Model: Non-saturating GAN
* Architecture: ResNet CIFAR
* Optimizer: Adam (lr=1.000e-04, beta1=0.500, beta2=0.999)
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## References

[1] Karol Kurach*, Mario Lucic*, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly.
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://openreview.net/pdf?id=SkeFUsQNx7).
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://arxiv.org/abs/1807.04720).
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# Module google/compare_gan/model_13_cifar10_resnet_cifar/1
ResNet CIFAR trained on CIFAR10 (FID: 22.91).
ResNet CIFAR trained on CIFAR-10 (FID: 22.91).

<!-- module-type: image-generator -->
<!-- network-architecture: ResNet CIFAR -->
<!-- dataset: CIFAR-10 -->

**Module URL:** [https://tfhub.dev/google/compare_gan/model_13_cifar10_resnet_cifar/1](https://tfhub.dev/google/compare_gan/model_13_cifar10_resnet_cifar/1)

Expand All @@ -16,7 +20,7 @@ View all available compare_gan modules in the [Colab notebook](https://colab.res

#### Details

* Dataset: CIFAR10
* Dataset: CIFAR-10
* Model: Non-saturating GAN
* Architecture: ResNet CIFAR
* Optimizer: Adam (lr=2.000e-04, beta1=0.500, beta2=0.999)
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## References

[1] Karol Kurach*, Mario Lucic*, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly.
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://openreview.net/pdf?id=SkeFUsQNx7).
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://arxiv.org/abs/1807.04720).
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# Module google/compare_gan/model_14_cifar10_resnet_cifar/1
ResNet CIFAR trained on CIFAR10 (FID: 23.22).
ResNet CIFAR trained on CIFAR-10 (FID: 23.22).

<!-- module-type: image-generator -->
<!-- network-architecture: ResNet CIFAR -->
<!-- dataset: CIFAR-10 -->

**Module URL:** [https://tfhub.dev/google/compare_gan/model_14_cifar10_resnet_cifar/1](https://tfhub.dev/google/compare_gan/model_14_cifar10_resnet_cifar/1)

Expand All @@ -16,7 +20,7 @@ View all available compare_gan modules in the [Colab notebook](https://colab.res

#### Details

* Dataset: CIFAR10
* Dataset: CIFAR-10
* Model: Non-saturating GAN
* Architecture: ResNet CIFAR
* Optimizer: Adam (lr=2.000e-04, beta1=0.500, beta2=0.999)
Expand Down Expand Up @@ -49,4 +53,4 @@ session.run([images, logits])
## References

[1] Karol Kurach*, Mario Lucic*, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly.
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://openreview.net/pdf?id=SkeFUsQNx7).
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://arxiv.org/abs/1807.04720).
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# Module google/compare_gan/model_15_cifar10_resnet_cifar/1
ResNet CIFAR trained on CIFAR10 (FID: 22.73).
ResNet CIFAR trained on CIFAR-10 (FID: 22.73).

<!-- module-type: image-generator -->
<!-- network-architecture: ResNet CIFAR -->
<!-- dataset: CIFAR-10 -->

**Module URL:** [https://tfhub.dev/google/compare_gan/model_15_cifar10_resnet_cifar/1](https://tfhub.dev/google/compare_gan/model_15_cifar10_resnet_cifar/1)

Expand All @@ -16,7 +20,7 @@ View all available compare_gan modules in the [Colab notebook](https://colab.res

#### Details

* Dataset: CIFAR10
* Dataset: CIFAR-10
* Model: Non-saturating GAN
* Architecture: ResNet CIFAR
* Optimizer: Adam (lr=2.000e-04, beta1=0.500, beta2=0.999)
Expand Down Expand Up @@ -49,4 +53,4 @@ session.run([images, logits])
## References

[1] Karol Kurach*, Mario Lucic*, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly.
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://openreview.net/pdf?id=SkeFUsQNx7).
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://arxiv.org/abs/1807.04720).
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# Module google/compare_gan/model_1_celebahq128_resnet19/1
ResNet19 trained on CelebA HQ (128x128) (FID: 34.29).

<!-- module-type: image-generator -->
<!-- network-architecture: ResNet19 -->
<!-- dataset: CelebA HQ -->

**Module URL:** [https://tfhub.dev/google/compare_gan/model_1_celebahq128_resnet19/1](https://tfhub.dev/google/compare_gan/model_1_celebahq128_resnet19/1)

[![Open Colab notebok](../../../../images/open_in_colab.png)](https://colab.research.google.com/github/google/compare_gan/blob/master/compare_gan/src/tfhub_models.ipynb)
Expand All @@ -16,7 +20,7 @@ View all available compare_gan modules in the [Colab notebook](https://colab.res

#### Details

* Dataset: CelebA HQ (128x128)
* Dataset: CelebA HQ
* Model: Non-saturating GAN
* Architecture: ResNet19
* Optimizer: Adam (lr=3.381e-05, beta1=0.375, beta2=0.998)
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## References

[1] Karol Kurach*, Mario Lucic*, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly.
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://openreview.net/pdf?id=SkeFUsQNx7).
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://arxiv.org/abs/1807.04720).
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# Module google/compare_gan/model_2_celebahq128_resnet19/1
ResNet19 trained on CelebA HQ (128x128) (FID: 35.85).

<!-- module-type: image-generator -->
<!-- network-architecture: ResNet19 -->
<!-- dataset: CelebA HQ -->

**Module URL:** [https://tfhub.dev/google/compare_gan/model_2_celebahq128_resnet19/1](https://tfhub.dev/google/compare_gan/model_2_celebahq128_resnet19/1)

[![Open Colab notebok](../../../../images/open_in_colab.png)](https://colab.research.google.com/github/google/compare_gan/blob/master/compare_gan/src/tfhub_models.ipynb)
Expand All @@ -16,7 +20,7 @@ View all available compare_gan modules in the [Colab notebook](https://colab.res

#### Details

* Dataset: CelebA HQ (128x128)
* Dataset: CelebA HQ
* Model: Non-saturating GAN
* Architecture: ResNet19
* Optimizer: Adam (lr=1.000e-04, beta1=0.500, beta2=0.999)
Expand Down Expand Up @@ -49,4 +53,4 @@ session.run([images, logits])
## References

[1] Karol Kurach*, Mario Lucic*, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly.
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://openreview.net/pdf?id=SkeFUsQNx7).
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://arxiv.org/abs/1807.04720).
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# Module google/compare_gan/model_3_lsun_bedroom_resnet19/1
ResNet19 trained on LSUN Bedroom (FID: 102.74).

<!-- module-type: image-generator -->
<!-- network-architecture: ResNet19 -->
<!-- dataset: LSUN Bedroom -->

**Module URL:** [https://tfhub.dev/google/compare_gan/model_3_lsun_bedroom_resnet19/1](https://tfhub.dev/google/compare_gan/model_3_lsun_bedroom_resnet19/1)

[![Open Colab notebok](../../../../images/open_in_colab.png)](https://colab.research.google.com/github/google/compare_gan/blob/master/compare_gan/src/tfhub_models.ipynb)
Expand Down Expand Up @@ -49,4 +53,4 @@ session.run([images, logits])
## References

[1] Karol Kurach*, Mario Lucic*, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly.
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://openreview.net/pdf?id=SkeFUsQNx7).
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://arxiv.org/abs/1807.04720).
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# Module google/compare_gan/model_4_lsun_bedroom_resnet19/1
ResNet19 trained on LSUN Bedroom (FID: 112.92).

<!-- module-type: image-generator -->
<!-- network-architecture: ResNet19 -->
<!-- dataset: LSUN Bedroom -->

**Module URL:** [https://tfhub.dev/google/compare_gan/model_4_lsun_bedroom_resnet19/1](https://tfhub.dev/google/compare_gan/model_4_lsun_bedroom_resnet19/1)

[![Open Colab notebok](../../../../images/open_in_colab.png)](https://colab.research.google.com/github/google/compare_gan/blob/master/compare_gan/src/tfhub_models.ipynb)
Expand Down Expand Up @@ -49,4 +53,4 @@ session.run([images, logits])
## References

[1] Karol Kurach*, Mario Lucic*, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly.
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://openreview.net/pdf?id=SkeFUsQNx7).
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://arxiv.org/abs/1807.04720).
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# Module google/compare_gan/model_5_celebahq128_resnet19/1
ResNet19 trained on CelebA HQ (128x128) (FID: 30.02).

<!-- module-type: image-generator -->
<!-- network-architecture: ResNet19 -->
<!-- dataset: CelebA HQ -->

**Module URL:** [https://tfhub.dev/google/compare_gan/model_5_celebahq128_resnet19/1](https://tfhub.dev/google/compare_gan/model_5_celebahq128_resnet19/1)

[![Open Colab notebok](../../../../images/open_in_colab.png)](https://colab.research.google.com/github/google/compare_gan/blob/master/compare_gan/src/tfhub_models.ipynb)
Expand All @@ -16,7 +20,7 @@ View all available compare_gan modules in the [Colab notebook](https://colab.res

#### Details

* Dataset: CelebA HQ (128x128)
* Dataset: CelebA HQ
* Model: Non-saturating GAN
* Architecture: ResNet19
* Optimizer: Adam (lr=1.000e-04, beta1=0.500, beta2=0.999)
Expand Down Expand Up @@ -49,4 +53,4 @@ session.run([images, logits])
## References

[1] Karol Kurach*, Mario Lucic*, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly.
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://openreview.net/pdf?id=SkeFUsQNx7).
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://arxiv.org/abs/1807.04720).
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# Module google/compare_gan/model_6_celebahq128_resnet19/1
ResNet19 trained on CelebA HQ (128x128) (FID: 32.05).

<!-- module-type: image-generator -->
<!-- network-architecture: ResNet19 -->
<!-- dataset: CelebA HQ -->

**Module URL:** [https://tfhub.dev/google/compare_gan/model_6_celebahq128_resnet19/1](https://tfhub.dev/google/compare_gan/model_6_celebahq128_resnet19/1)

[![Open Colab notebok](../../../../images/open_in_colab.png)](https://colab.research.google.com/github/google/compare_gan/blob/master/compare_gan/src/tfhub_models.ipynb)
Expand All @@ -16,7 +20,7 @@ View all available compare_gan modules in the [Colab notebook](https://colab.res

#### Details

* Dataset: CelebA HQ (128x128)
* Dataset: CelebA HQ
* Model: Non-saturating GAN
* Architecture: ResNet19
* Optimizer: Adam (lr=1.000e-04, beta1=0.500, beta2=0.999)
Expand Down Expand Up @@ -49,4 +53,4 @@ session.run([images, logits])
## References

[1] Karol Kurach*, Mario Lucic*, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly.
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://openreview.net/pdf?id=SkeFUsQNx7).
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://arxiv.org/abs/1807.04720).
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# Module google/compare_gan/model_7_lsun_bedroom_resnet19/1
ResNet19 trained on LSUN Bedroom (FID: 41.60).

<!-- module-type: image-generator -->
<!-- network-architecture: ResNet19 -->
<!-- dataset: LSUN Bedroom -->

**Module URL:** [https://tfhub.dev/google/compare_gan/model_7_lsun_bedroom_resnet19/1](https://tfhub.dev/google/compare_gan/model_7_lsun_bedroom_resnet19/1)

[![Open Colab notebok](../../../../images/open_in_colab.png)](https://colab.research.google.com/github/google/compare_gan/blob/master/compare_gan/src/tfhub_models.ipynb)
Expand Down Expand Up @@ -49,4 +53,4 @@ session.run([images, logits])
## References

[1] Karol Kurach*, Mario Lucic*, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly.
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://openreview.net/pdf?id=SkeFUsQNx7).
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://arxiv.org/abs/1807.04720).
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# Module google/compare_gan/model_8_lsun_bedroom_resnet19/1
ResNet19 trained on LSUN Bedroom (FID: 42.51).

<!-- module-type: image-generator -->
<!-- network-architecture: ResNet19 -->
<!-- dataset: LSUN Bedroom -->

**Module URL:** [https://tfhub.dev/google/compare_gan/model_8_lsun_bedroom_resnet19/1](https://tfhub.dev/google/compare_gan/model_8_lsun_bedroom_resnet19/1)

[![Open Colab notebok](../../../../images/open_in_colab.png)](https://colab.research.google.com/github/google/compare_gan/blob/master/compare_gan/src/tfhub_models.ipynb)
Expand Down Expand Up @@ -49,4 +53,4 @@ session.run([images, logits])
## References

[1] Karol Kurach*, Mario Lucic*, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly.
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://openreview.net/pdf?id=SkeFUsQNx7).
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://arxiv.org/abs/1807.04720).
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# Module google/compare_gan/model_9_celebahq128_resnet19/1
ResNet19 trained on CelebA HQ (128x128) (FID: 29.13).

<!-- module-type: image-generator -->
<!-- network-architecture: ResNet19 -->
<!-- dataset: CelebA HQ -->

**Module URL:** [https://tfhub.dev/google/compare_gan/model_9_celebahq128_resnet19/1](https://tfhub.dev/google/compare_gan/model_9_celebahq128_resnet19/1)

[![Open Colab notebok](../../../../images/open_in_colab.png)](https://colab.research.google.com/github/google/compare_gan/blob/master/compare_gan/src/tfhub_models.ipynb)
Expand All @@ -16,7 +20,7 @@ View all available compare_gan modules in the [Colab notebook](https://colab.res

#### Details

* Dataset: CelebA HQ (128x128)
* Dataset: CelebA HQ
* Model: Non-saturating GAN
* Architecture: ResNet19
* Optimizer: Adam (lr=1.000e-04, beta1=0.500, beta2=0.900)
Expand Down Expand Up @@ -49,4 +53,4 @@ session.run([images, logits])
## References

[1] Karol Kurach*, Mario Lucic*, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly.
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://openreview.net/pdf?id=SkeFUsQNx7).
[The GAN Landscape: Losses, Architectures, Regularization, and Normalization](https://arxiv.org/abs/1807.04720).

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