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Hi,
I'm now studying your paper "Max-Sliced Wasserstein Distance and its use for GANs". I want to study the supplementary material, but I cannot find it on the net. Would you please give me a addr…
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Dear author,
Thanks for your friendly implementation of popular GANs. I am reading your implementation of [Wasserstein GANs](https://github.com/znxlwm/pytorch-generative-model-collections/blob/mast…
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Hello,
Thank you for the implementation of the Wasserstein GANs mode and GP loss!
I followed the way proposed here: https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix/issues/439
It works fo…
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## 一言でいうと
Maxmarginの手法を抽象化して、SVM/GANを同じ枠組みでとらえようという研究。確率分布の距離を使用するGANが
学習効果にすぐれることを示し、発展させた手法としてL∞ gradient normを使用する方法を提案している。
### 論文リンク
https://arxiv.org/abs/1910.06922
### 著者/所属機関
A…
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[Wasserstein GANs](https://arxiv.org/abs/1701.07875) are supposed to fix some of the challenges of GANs.
- No more vanishing gradients!
- No more mode collapse!
- Loss function is more meaningful.
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As refered in #93 , discriminator is the key to get sharp image. But in my experiments, sometime aeloss get negative values.
![image](https://user-images.githubusercontent.com/7460776/151085947-a0e0…
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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 updated
5 years ago
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Have you tried the two methods?
[XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings](https://arxiv.org/abs/1711.05139)
[Improved Training of Wasserstein GANs](https://arxiv.org/…
oiwio updated
5 years ago
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According to [On the Effects of Batch and Weight Normalization in Generative Adversarial Networks](https://arxiv.org/abs/1704.03971), WeightNorm is generally superior to BatchNorm in the context of GA…
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Why is the output of patch-d the average value of all patches, rather than the cross entropy of biclassification calculated by BCELoss, like the common patch-gan?