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...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | en |
| Published: |
2024
|
| Subjects: | |
| Online Access: | http://eprints.usm.my/62327/1/CHEN%20LI%20-%20TESIS%20cut.pdf http://eprints.usm.my/62327/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|