Randomizing neural style transfer

I have noticed that I prefer the original neural-style over the faster variants like texture-nets and fast-neural-style. One reason is that neural-style allows more control and more immediate feedback when working on images; this applies when one is not interested in developing reusable filters but working a individual images and developing …

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Seeing beoynd the edges of the image


In an earlier post, http://liipetti.net/erratic/2016/11/25/imaginary-landscapes-using-pix2pix/, I experimented with pix2pix, a versatile new package for training a model, using a conditional GAN architecture, to do various image transforms. In that earlier post, I also ventured beyond an image transform in which the content of the image is kept spatially similar, namely adding what is …

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