Abstract
In this paper, we study style transfer applications for the photo-realistic image processing tasks. First, we present the results on image quality improvement based with photo style transfer. Second, we describe the problems of learning style transfer under geometrical constraints for processing portrait images and multi-style transfer. Finally, we give a short glimpse on application of image-to-image translation methods for updating realistic graphics for video games.
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CITATION STYLE
Makarov, I., Polonskaya, D., & Feygina, A. (2018). Improving Picture Quality with Photo-Realistic Style Transfer. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10882 LNCS, pp. 47–55). Springer Verlag. https://doi.org/10.1007/978-3-319-93000-8_6
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