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Conference material: "Proceedings of the International Conference on Computer Graphics and Vision Graphicon (19-21 September 2023, Moscow)"
Authors: Ponamaryov V., Kitov V.
Image Style Transfer With a Group of Similar Styles
Abstract:
Image style transfer is a widely used applied task of automatic redrawing of the source image (content) in the style of another image (setting the target style). Traditional style transfer methods provide only a single stylization result. If the user does not like it, for example, due to artifacts that appear during styling, then he has to choose another style. The paper proposes a modification of the styling algorithm, which gives a variety of styling results with one style, and also improves the average quality of styling by using not only style information from the original style image, but also information from images that have a similar style.
Keywords:
image generation, image transformation, style transfer diversity, neural networks
Publication language: english,  pages: 7 (p. 565-571)
English source text:
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About authors:
  • Ponamaryov Valeriy,  Yandex Technologies LLC
  • Kitov Victor,  orcid.org/0000-0002-3198-5792Lomonosov Moscow State University; Plekhanov Russian University of Economics