SAMStyler: Enhancing Visual Creativity With Neural Style Transfer and Segment Anything Model (SAM)
Neural Style Transfer (NST) is a popular technique of computer vision where the content of an image is blended with the style of another, which results in a fused image with certain properties of both original images. This approach has practical applications in various domains and has garnered signi...
Main Authors: | Konstantinos Psychogyios, Helen C. Leligou, Filisia Melissari, Stavroula Bourou, Zacharias Anastasakis, Theodore Zahariadis |
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格式: | Article |
語言: | English |
出版: |
IEEE
2023-01-01
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叢編: | IEEE Access |
主題: | |
在線閱讀: | https://ieeexplore.ieee.org/document/10250775/ |
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