Comments (3)
yes, they are measuring the strength of the style, content and spatial smoothness in the outcome image accordingly.
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Ok interesting, are the default values good? I am not even sure what kind of range to use when testing these parameters out.
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The paper only says about lambda_tv between 1e-4 and 1e-6....about others I don't know anything
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Related Issues (20)
- kanagawa
- the result is dark when it is used for super resolution
- Is there a style size?
- why do you set batch_size equal 1 HOT 1
- OutOfMemoryError when generate on Azure ND6 VM
- RuntimeError: CUDA environment is not correctly set up
- cupy.cuda.compiler.CompileException: nvrtc: error: failed to load builtins HOT 5
- LC_RPATH @executable_path error or libnvrtc-builtins.dylib error HOT 5
- How much is the proper training epoch?
- hello! can you code Fast Neural Style Transfer with Arbitrary Style ? HOT 6
- Memory error without GPU. HOT 1
- ValueError: test argument is not supported anymore. Use chainer.using_config HOT 5
- error in run train.py
- Style transfer between any two images - iOS App needs beta tester HOT 6
- volatile argument is not supported anymore. Use chainer.using_config HOT 10
- Output size few pixels smaller
- Artx - iOS App that transfer styles between any two images HOT 4
- how to download vgg16 and setup it ?
- error in sh setup_model.sh HOT 1
- RuntimeError: CUDA environment is not correctly set up HOT 1
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