A Neural Algorithm of Artistic Style implementation – Neural Style Transfer
ArtiStyle To quote authors Leon A. Gatys, Alexander S. Ecker, Matthias Bethge, “in light of the striking similarities between performance-optimised artificial neural networks and biological vision, our work offers a path forward to an algorithmic understanding of how humans create and perceive artistic imagery. The idea of Neural Style Transfer is taking a white noise as an input image, changing the input in such a way that it resembles the content of the content image and the texture/artistic style of […]
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