基于生成对抗网络的偏转人脸转正
|
|
胡惠雅,盖绍彦,达飞鹏
|
Face frontalization based on generative adversarial network
|
|
Hui-ya HU,Shao-yan GAI,Fei-peng DA
|
|
| 表 3 不同结构模型在Setting-2下的Rank-1识别率对比 |
| Tab.3 Rank-1 recognition rates of different model under Setting-2 |
|
| 方法 | R/% | | ±90° | ±75° | ±60° | ±45° | ±30° | ±15° | | w/o ${\rm{D}}$ | 46.28 | 53.44 | 55.65 | 57.59 | 60.10 | 67.62 | | w/o ${L_{{\rm{rot}}}}$ | 54.65 | 65.45 | 80.39 | 87.05 | 92.89 | 94.49 | | w/o ${L_{{\rm{sym}}}}$ | 68.93 | 78.32 | 85.20 | 93.96 | 95.37 | 97.58 | | w/o ${\rm{C}}$ | 67.06 | 76.83 | 86.73 | 93.78 | 96.35 | 97.06 | | 本文方法 | 70.02 | 80.60 | 89.70 | 95.98 | 98.72 | 98.90 |
|
|
|