Jack Yi

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Thanks for the suggestion. I will update the codes ASAP.

when the epoch_idx reachers args.epoch. If you want to stop it early, you may use smaller number for args.epoch.

I have never saw that error before. It is probably due to lack of swap memory in your computer.

The result images shown in the main body of the paper are generated with WGAN. After the acceptance of the paper, I did some further experiments and found that the...

Instead of explicitly adding random noise, I used dropout instead.

No, convergence means the image quality reaches satisfactory. Practically, you need to specify the args.epoch manually by observing the image quality.

Thanks for the feedback, I will revise the codes soon. On 24 October 2017 at 14:10, kickbox wrote: > I found that the "model.py" code has been written to search...

It is a left over. Sorry for causing the confussion. I will update the codes then.

I will update the codes and also upload the pretrained models ASAP. Thanks for the request.

Yes. I have updated the codes a few times and disabled wgan loss Sorry for causing the confusion. In the near future, I will provide both options (wgan and nsgan)...