Arbitrary Style Transfer With Fused Convolutional Block Attention Modules
The advancement of deep learning has rendered image style transfer a progressively intricate subject matter. The proposed solution aims to tackle the limitations of current methods in retaining the content image object contours and avoiding blurred image boundaries and mismatched color matching afte...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10121053/ |