Applications of Generative Adversarial Networks in Hairstyle Transfer
| dc.contributor.advisor | Phan, Duy Hùng | |
| dc.contributor.author | Phạm, Cao Bằng | |
| dc.contributor.author | Tạ, Đăng Khoa | |
| dc.date.accessioned | 2021-07-01T01:59:55Z | |
| dc.date.available | 2021-07-01T01:59:55Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | /handle/123456789/3019 | |
| dc.description | Thesis: 32 pages | en_US |
| dc.description.abstract | Recently, Generative Adversarial Networks (GANs) extensively studied, and a range of GANs architectures and related methods proposed. The evolution of GANs makes a significant impact in the areas of computer vision; thus, significant advances have been made, for instance, plausible image generation, image-to-image translation, facial attribute manipulation, and related domains. Most recent works have focused on many domains instead of focusing on a single domain of GANs. In this works, we want to focus on the applications in a single area named facial attribute manipulation, an exciting area of GANs. We apply the state-of-the-art architectures and methods of GANs in facial attribute manipulation for editing the hairstyle of a given facial image. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | FPTU Hà Nội | en_US |
| dc.subject | Computer Science | en_US |
| dc.subject | Generative Adversarial Networks | en_US |
| dc.subject | GANs | en_US |
| dc.subject | Hairstyle Transfer | en_US |
| dc.subject | facial attribute manipulation | en_US |
| dc.title | Applications of Generative Adversarial Networks in Hairstyle Transfer | en_US |
| dc.type | Working Paper | en_US |
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