A Denoising Generative Adversarial Network Based On Enhanced Feature Mapping Of Data Augmentation For Image Synthesis
Generative adversarial networks (GANs) have become a significant research topic in deep learning for image synthesis. GANs can produce diverse and high-quality results through the collaboration between the generator and discriminator. However, building a robust and stable GANs model remains a signif...
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| Format: | Thèse |
| Langue: | anglais |
| Publié: |
2024
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| Accès en ligne: | http://eprints.usm.my/62327/ |
| Abstract | Abstract here |