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This code is outdated seriously

Open ylmao opened this issue 6 years ago • 3 comments

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!!!

ylmao avatar Aug 09 '18 13:08 ylmao

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!

zhulingchen avatar Sep 17 '18 16:09 zhulingchen

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?

s-hong-s avatar Aug 03 '19 12:08 s-hong-s

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!

ylmao avatar Aug 20 '19 03:08 ylmao