Is discriminator training properly? about photorealismenhancement HOT 4 CLOSED

The discriminator networks are only updated from time to time depending on their performance in classifying real and fake images. If one of them gets too strong, we skip backpropagation for a couple of iterations so the generator can catch up. This is the adaptive backpropagation in the paper. I have no idea about the issue with loading savegames as we have successfully saved and loaded savegames for continuing training. It likely depends on the specific config you are using there.

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So I have since narrowed down the issue: the problem began after I tried to load a previously saved network state using name_load in the config for a 'train' config. If I start from scratch I don't get the issue. Any ideas why loading a savegame for training might cause problems?

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Hi,
Could you please explain me what .mat files stores? And in particular, what ['i_fake'] and ['i_real] and ['i_rec_fake] store and represent?

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@lucamarini22 .mat essentially stores the model inputs/outputs for that iteration. ''i_fake' is the input image, 'i_rec_fake' is the generated output image.

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