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generated images quality? #1

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YoelShoshan opened this issue Apr 11, 2017 · 7 comments
Open

generated images quality? #1

YoelShoshan opened this issue Apr 11, 2017 · 7 comments

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@YoelShoshan
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Thanks for sharing!

In the images that you generate, are you seeing similar quality to the paper?
(From what I understand, on the paper they use a larger dataset to train on.)

@artcg
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artcg commented Apr 12, 2017

Hey,
They are pretty good but not quite as good as the paper (I have been generating 64x64 samples instead of 128x128) - I'm away from my GPU right now but will post some samples this weekend!

@YoelShoshan
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Sounds great :)

@malreddysid
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Hi,
How many epochs did you train for to get good results?

@fwiffo
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fwiffo commented Apr 12, 2017

We trained for 400k to 450k steps total, but the results were pretty good after 200k steps. The remainder added just a little bit of sharpness and things like finer hair detail. May want to check issue #3 in carpedm20/BEGAN-tensorflow for some mistakes made in that version to see if you have anything similar.

@malreddysid
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I ran the implementation as is with default parameters. Could you please post some images?

@artcg
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artcg commented Apr 13, 2017

Thanks for the tip @fwiffo!

I'll check that out

@agingdata
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Thanks,author!
I am suffer from some issues when trained a model and want to generate some samples simply run;
when I execute "python main.py --start-epoch=N add-epochs=0 --train=False"this line,some error appear.
can you share execute comand line?
where N is the checkpoint ,I have a little confused what it is a num or produced model? i have produced the model eg.BEGAN_64_64_0005.tfmod.data-00000-of-00001.I try to set "N" as "1or5",and "-train=False"when execute is a error,I replaced it with "train=0 or train=1",only this way,the code when execute is occor errors.
can you give some guide about you generate the samples?
thanks again!

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5 participants