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Commits on Jun 6, 2018

• GAN: BN for faster convergence

  

  Erik Linder noren

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Commits on May 26, 2018

• BicycleGAN: Multi-scale discriminator fix

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Commits on May 25, 2018

• MUNIT: ReLUs in encoder / decoder

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• MUNIT: Multi-scale discriminator

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• MUNIT: Multimodal Unsupervised Image-to-Image Translation

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• UNIT: Clean up and some fixes. Seems to work well.

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Commits on May 24, 2018

• Added PyTorch 0.4.0 to requirements

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• UNIT: Unsupervised image-to-image translation networks

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Commits on May 21, 2018

• Context Encoders: Cleaned up code. Sample in README

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Commits on May 20, 2018

• Context Encoder: Inpainting using GANs

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Commits on May 14, 2018

• Removed inplace operations where skip-connections are utilized to preserve skip signals

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Commits on May 12, 2018

• Clean up of implementations using fully-connected networks

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Commits on May 11, 2018

• Merge branch 'master' of https://github.com/eriklindernoren/PyTorch-GAN

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• Adversarial Autoencoder: Reduced dimensionality of latent code => increased visual quality of samples

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Commits on May 8, 2018

• Update README.md

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• CycleGAN: Monet to photo sample in README

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• Merge branch 'master' of https://github.com/eriklindernoren/PyTorch-GAN

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• Loading of pretrained image-to-image models

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Commits on May 7, 2018

• WGAN: Refined code structure

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• WGAN: Refined implementation. Resolves #8

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Commits on May 4, 2018

• Update README.md

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• Update README.md

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• Merge branch 'master' of https://github.com/eriklindernoren/PyTorch-GAN

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• Update README.md

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• Update README.md

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• Merge branch 'master' of https://github.com/eriklindernoren/PyTorch-GAN

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• Update README.md

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