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Neural style transfer
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<p>Neural style transfer (NST) refers to a class of software algorithms that manipulate digital images, or videos, in order to adopt the appearance or visual style of another image. NST algorithms are characterized by their use of <a href="/facts/Deep_neural_networks/JLuwD3ea">deep neural networks</a> for the sake of image transformation. Common uses for NST are the creation of artificial artwork from photographs, for example by transferring the appearance of famous paintings to user-supplied photographs. Several notable mobile apps use NST techniques for this purpose, including <a href="/facts/DeepArt/dLJzBBKd">DeepArt</a> and <a href="/facts/Prisma_(app)/1nctwJ1z">Prisma</a>. This method has been used by artists and designers around the globe to develop new artwork based on existent style(s). </p>