RECDFS: Rotation Equivariant Convolution and Delayed Feature Statistics for arbitrary neural style transfer
Abstract The aim of arbitrary style transfer is to render an image with the style of a reference image while preserving the original content. A key challenge is the extracting and maintaining global image information due to the local nature of convolutional neural networks (CNNs). Therefore, arbitra...
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| Autores principales: | , , , , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Springer
2026-04-01
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| Colección: | Journal of King Saud University: Computer and Information Sciences |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1007/s44443-026-00795-3 |
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