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How could I get rid of the noise in the generated image? #20

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bucktoothsir opened this issue Jul 30, 2016 · 9 comments
Open

How could I get rid of the noise in the generated image? #20

bucktoothsir opened this issue Jul 30, 2016 · 9 comments

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@bucktoothsir
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bucktoothsir commented Jul 30, 2016

mj_udnie

No matter what style image I used, There are always some noise spots in the generated image.
Anyone have the same issue????

@austingg
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austingg commented Jul 30, 2016

@bucktoothsir WoW! pretty good result.
the antifact may be removed by longer epochs

@austingg
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@bucktoothsir would u like share your training params? I really like this style!

@benslaney
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@bucktoothsir would you please consider sharing your model? maybe here or on https://github.com/gafr/chainer-fast-neuralstyle-models

@6o6o
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6o6o commented Jul 30, 2016

@bucktoothsir train it a bit further. Not necessarily a full additional epoch, but some 20-40k images might help. Make checkpoints every few thousand to see the progress. I noticed these artifacts come and go along the training.

@austingg
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@6o6o Is that means the training processing is not stable? maybe need some gradient clip

@bucktoothsir
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@benslaney sure. I would like to share it when I get a good model but not a semi-finished one.

@nandexsp
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nandexsp commented Aug 1, 2016

@bucktoothsir could you fix the problem with the error? what params did you use with train.py? I have the same problem :(

@cryptexis
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@bucktoothsir hey :) try to reduce lambda_tv, like put it to 1e-5. Also did you preserve all other parameters as defaults ?

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