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...
| المؤلفون الرئيسيون: | , , , , , |
|---|---|
| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
IEEE
2023-01-01
|
| سلاسل: | IEEE Access |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://ieeexplore.ieee.org/document/10250775/ |