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dmitryulyanov.github.io
Example results on several image restoration problems. We use deep neural networks, but we never train/pretrain them using datasets. We use them as a structured image prior. Deep convolutional networks have become a popular tool for image generation and restoration. Generally, their excellent performance is imputed to their ability to learn realistic image priors from a large number of example ima
by Dmitry Ulyanov and Vadim Lebedev We present an extension of texture synthesis and style transfer method of Leon Gatys et al. for audio. We have developed the same code for three frameworks (well, it is cold in Moscow), choose your favorite: Torch TensorFlow Lasagne How do you apply neural-style to audio? The modifications of image style transfer algorithm are rather straightforward. The raw aud
Sometimes you sigh you cannot draw, aren’t you? It takes time to master the skills, and you have more important things to do :) What if you could only sketch the picture like a 3-years old and everything else is done by a computer so your sketch looks like a real painting? It will certainly happen in near future. In fact several algorithms that do the thing very well were proposed recently, yet th
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