Integrating Pretrained Encoders for Generalized Face Frontalization
In the field of face frontalization, the model obtained by training on a particular dataset often underperforms on other datasets. This paper presents the Pre-trained Feature Transformation GAN (PFT-GAN), which is designed to fully utilize diverse facial feature information available from pre-traine...
| المؤلفون الرئيسيون: | , , , , |
|---|---|
| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
IEEE
2024-01-01
|
| سلاسل: | IEEE Access |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://ieeexplore.ieee.org/document/10472503/ |