High Fidelity Makeup via 2D and 3D Identity Preservation Net
In this article, we address the challenging makeup transfer task, aiming to transfer makeup from a reference image to a source image while preserving facial geometry and background consistency. Existing deep neural network-based methods have shown promising results in aligning facial parts and trans...
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| Published in: | ACM transactions on multimedia computing communications and applications 2024-06, Vol.20 (8), p.1-24, Article 230 |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Subjects: | |
| Citations: | Items that this one cites Items that cite this one |
| Online Access: | Get full text |
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