neural-style-tf
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Scaling max_size up to keep features?
I've noticed than when I scale up using max_size there are details / features that are different. Is there a way to maintain the exact same result for lower / higher resolutions? The reason I ask - is that I like to work at 512 for quick preview purposes - then scale up to higher resolutions for final result. Thanks.
my experience is you need adjust the style weight and/or content weight to achieve close result on different resolutions. e.g. the higher the size, the lower the style weight should be set, but I didn't found a firm corrolation between the size and weights... so I cannot code the relation in fomulars...anybody have any suggestion?
Hey I'll try that thanks - intuitively I would guess that the weights would be the square of the scaling ratio - so twice the scale would require x4 the weight ratio.. just a theory!
looking forward your experiment result:)
Anyone have a chance to play around with it and if so what settings have you found work as you scale the image up?
I'm currently playing around with these settings, I'll see how it works.
any update?