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wrong reconstructions #2

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edgarriba opened this issue Apr 19, 2017 · 4 comments
Open

wrong reconstructions #2

edgarriba opened this issue Apr 19, 2017 · 4 comments

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@edgarriba
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why some of my reconstructions are just blank images? Using a grayscale dataset with default parameters

@DmitryUlyanov
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DmitryUlyanov commented Apr 19, 2017

Take a look at the log, is variance for real of fake images 0?

@edgarriba
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yes, most of the time is 0

screenshot from 2017-04-20 13-53-49

@DmitryUlyanov
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Take a look at a previous epochs, probably it is not 0 there. Otherwise there are some things you can do to get rid of collapsing. Try either reducing z dimentionality or add small weight for match_z for encoder, or increase match_x and match_z weights for generator. Also try to increase number of generator updates.

@edgarriba
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@DmitryUlyanov Actually I made it work just by increasing the lr 10x. Now I get pretty decent reconstructions, but anyways I'll reconsider to play with the other hyper parameters. I'm trying to adapt your architecture to solve a descriptor matching problem, not sure how well will generalize the encoder for this kind of tasks.

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