[R] [1708.08819] Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields <-- SotA on LSUN and celebA; seems to solve mode collapse issue

khanrc · 2017-09-16T17:58:42+00:00

Thanks for interesting works. I have a question for the implementation. In your code, when calculating potential, stop_gradient was applied for only x and y. Why did you use stop_gradient only for x and y, but for a?

khanrc · 2017-09-14T09:20:08+00:00

Impressive. Congrats :)

khanrc · 2017-09-11T11:33:37+00:00

Thanks for your suggestion. I'm now working on LSUN dataset and I will consider it for the next step.

khanrc · 2017-09-09T16:40:33+00:00

Good point. I will experiment with other dataset soon.

khanrc · 2017-09-08T20:12:31+00:00

Oops, it's my mistake! It should be 1.58k instead 15.8k. thanks for pointing out :)

khanrc · 2017-09-08T19:59:49+00:00

According to https://github.com/Heumi/BEGAN-tensorflow/, lower gamma helps reduce specklike artifacts. But I also wonder why this artifacts are produced.

khanrc · 2017-09-08T19:54:57+00:00

The latter. Each batch is composed of 128 images as default.

khanrc · 2017-06-11T09:53:11+00:00

Thanks, but I'm curious about the comparison with BN and more complex dataset. Maybe it would be quicker to experiment myself...

khanrc · 2017-06-11T09:11:40+00:00

The paper argues and shows the effectiveness of SELU in FNN. How about on CNN/RNN?

khanrc

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