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https://github.com/PacktPublishing/Hands-On-Generative-Adversarial-Networks-with-Keras/blob/3ffad480bf6139cfa0d41703db681ceb243fba25/Chapter06/models_pix2pixhd.py#L188
Is thisi a typo? I think it s…
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https://devblogs.nvidia.com/parallelforall/photo-editing-generative-adversarial-networks-2/
基于nvidia-digits的实现
https://github.com/gheinrich/DIGITS-GAN/blob/DIGITS-GAN-v0.1/examples/gan/README.md
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Hi.
I have noticed the operation here ( features = (features - 0.5)*2) in Generative Adversarial Networks (GAN). I don't understand why we need to do this here. The mean and variance of MINIST datas…
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Hi,
Is this repo based on Is this repo based on STARGAN-VC: NON-PARALLEL MANY-TO-MANY VOICE CONVERSION WITH STAR GENERATIVE ADVERSARIAL NETWORKS? https://arxiv.org/pdf/1806.02169v1.pdf
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Hi,
I have run the code mnist_catgan.py and I am confused of the formulas of L_D and L_G, which seem to be different from the original paper (UNSUPERVISED AND SEMI-SUPERVISED LEARNING WITH CATEGORI…
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I want to add "DC-GANs" technique in "18. Generative Adversarial Networks (GANs)", with GitHub repo. & Research paper reference. Please create a PR for the same. Thank you.
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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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Thank you for making the code available. I'd like to ask a question about Unified generative adversarial networks for multimodal segmentation from unpaired 3D medical images.
The paper extends the…
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