Facial Aging and Rejuvenation by Conditional Multi-Adversarial Autoencoder with Ordinal Regression

8 Apr 2018 Haiping Zhu Qi Zhou Junping Zhang James Z. Wang

Facial aging and facial rejuvenation analyze a given face photograph to predict a future look or estimate a past look of the person. To achieve this, it is critical to preserve human identity and the corresponding aging progression and regression with high accuracy... (read more)

PDF Abstract
No code implementations yet. Submit your code now

Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Age Estimation FGNET CMAAE-OR MAE 3.62 # 2
Age Estimation FGNET Zhu et al. (Actual) MAE 4.58 # 3
Age Estimation MORPH CMAAE-OR MAE 1.48 # 1

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet