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...
| Hauptverfasser: | , , , , , |
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| Format: | Artikel |
| Sprache: | English |
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IEEE
2023-01-01
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| Schriftenreihe: | IEEE Access |
| Schlagworte: | |
| Online Zugang: | https://ieeexplore.ieee.org/document/10250775/ |