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I wonder why it's `d_loss = 0.5 * np.add(d_loss_real, d_loss_fake)` and not `d_loss = np.add(d_loss_real, d_loss_fake)`?
https://github.com/eriklindernoren/Keras-GAN/blob/master/gan/gan.py#L123
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* Select some of the papers which have impacts and important as i think,
* Summary all of the papers within 3 lines!
* Grouping the papers w/ following characteristic
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### Team Name:
QC@UCI
### Project Description:
To enhance the Generative Adversarial Networks (GAN) used in the High Energy Physics (HEP) community for fast event simulation with Quantum Ci…
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For training a SRGAN HR (high res) and LR (low res) images are needed.
In your code you write `training images` and `validation images`.
Do training images correspond to LR and validation images cor…
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### Metadata
Authors: Stanislau Semeniuta, Aliaksei Severyn, Sylvain Gelly
Organization: Google AI
Conference: NIPS 2018
Paper: https://arxiv.org/pdf/1806.04936.pdf
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As per @douwekiela's suggestion, we should find the blind spots that we have in terms of missing metrics, especially from domains like speech recognition and computer vision.
Suggestions are welcom…
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Hi, thanks for releasing the code. I have a question about the test setting on PU-GAN dataset.
In original PU-GAN dataset, the test input sparse patches are generated by random downsampling form th…
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Thanks for your great work.
I read your paper really interestingly.
And I have a question.
I wonder how to train 'IRN_model_CRM'. I guess first you train IRN, afterwards you train CRM('only_jpeg_re…
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It seems like the SSIM code haven't been published (the ssim function in util.metrics seems haven't been used,it also can't work on my computer) . I used another open-sourced SSIM function test the d…
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Hi everyone! In a recent issue, I discovered that Deepchem seems to lack native support for evaluating GANs. I wonder if there are steps that we can take so that functions like `.evaluate()` are prese…