ESA‐CycleGAN: Edge feature and self‐attention based cycle‐consistent generative adversarial network for style transfer
Abstract Nowadays, style transfer is used in a wide range of commercial applications, such as image beautification, film rendering etc. However, many existing methods of style transfer suffer from loss of details and poor overall visual effect. To address these problems, an edge feature and self‐att...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | IET Image Processing |
| Online Access: | https://doi.org/10.1049/ipr2.12342 |