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...

وصف كامل

التفاصيل البيبلوغرافية
المؤلف الرئيسي: Chen, Li
التنسيق: أطروحة
اللغة:الإنجليزية
منشور في: 2024
الموضوعات:
الوصول للمادة أونلاين:http://eprints.usm.my/62327/
Abstract Abstract here