Local Binary Pattern–Cycle Generative Adversarial Network Transfer: Transforming Image Style from Day to Night
Transforming images from day style to night style is crucial for enhancing perception in autonomous driving and smart surveillance. However, existing CycleGAN-based approaches struggle with texture loss, structural inconsistencies, and high computational costs. In our attempt to overcome these chall...
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| Auteurs principaux: | , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI AG
2025-03-01
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| Collection: | Journal of Imaging |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/2313-433X/11/4/108 |
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