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This code is outdated seriously #80

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ylmao opened this issue Aug 9, 2018 · 3 comments
Open

This code is outdated seriously #80

ylmao opened this issue Aug 9, 2018 · 3 comments

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@ylmao
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ylmao commented Aug 9, 2018

It seems that the authors of this paper no longer maintain their code.
Could anyone share an updated version of this code?
It will help us a lot. Thanks!!!

@zhulingchen
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zhulingchen commented Sep 17, 2018

Hi ylmao,

I implemented my version of Info-Wasserstein-GAN-Gradient Penalty-Consistency Term (Info-WGAN-GP-CT) in my repository: https://github.com/zhulingchen/deep-generative-models with Keras and TensorFlow (tested under the platform os Ubuntu 18.04 LTS, CUDA 9.2, cuDNN 7.2.1, Native compiled TensorFlow 1.10, Keras 2.2.2).

Note that "Consistency Term" comes from a recent ICLR 2018 paper: X. Wei, Z. Liu, L. Wang, and B. Gong, "Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect", International Conference on Learning Representations (ICLR), 2018..

Thank you!

@s-hong-s
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s-hong-s commented Aug 3, 2019

I implemented my version of Info-Wasserstein-GAN-Gradient Penalty-Consistency Term (Info-WGAN-GP-CT) in my repository: https://github.com/zhulingchen/deep-generative-models with Keras and TensorFlow (tested under the platform os Ubuntu 18.04 LTS, CUDA 9.2, cuDNN 7.2.1, Native compiled TensorFlow 1.10, Keras 2.2.2).

Hello.
The provided GitHub link is broken. Are you able to upload the code used for your paper again?

@ylmao
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ylmao commented Aug 20, 2019

Hi ylmao,

I implemented my version of Info-Wasserstein-GAN-Gradient Penalty-Consistency Term (Info-WGAN-GP-CT) in my repository: https://github.com/zhulingchen/deep-generative-models with Keras and TensorFlow (tested under the platform os Ubuntu 18.04 LTS, CUDA 9.2, cuDNN 7.2.1, Native compiled TensorFlow 1.10, Keras 2.2.2).

Note that "Consistency Term" comes from a recent ICLR 2018 paper: X. Wei, Z. Liu, L. Wang, and B. Gong, "Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect", International Conference on Learning Representations (ICLR), 2018..

Thank you!

Thanks!

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3 participants