Research map / Image generation / Editing and style transfer
Face Aging With Identity-Preserved Conditional Generative Adversarial Networks
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add the age classifier module (ablation) | IPCGANs · CACD user study | Age classification (%): 28.73 -> 31.37 | Helped |
| Add the identity-preserved term (ablation) | IPCGANs · CACD user study | Face verification (%): 98.15 -> 99.07 | Helped |
| Use IPCGANs-generated faces for data augmentation | Face VGG classifier · CACD face recognition test set | Face recognition accuracy (%): 84.9% -> 84.8% | No clear effect |
| Use CAAE-generated faces for data augmentation | Face VGG classifier · CACD face recognition test set | Face recognition accuracy (%): 84.9% -> 78.2% | Hurt |
| Choose a deeper feature layer for the identity perceptual loss, from shallow layers toward deeper layers (ablation) | IPCGANs · CACD face aging, input age 11-20 and target age 50+ | Identity preservation and aging effect | Mixed |
| Set the identity perceptual-loss feature layer to conv5 (ablation) | IPCGANs · CACD face aging | Image quality and identity preservation | Helped |
Closest papers by meaning
- Continuous Face Aging via Self-Estimated Residual Age Embedding (CVPR 2021 · similarity 0.93)
- Learning Face Age Progression: A Pyramid Architecture of GANs (CVPR 2018 · similarity 0.92)
- Age Progression and Regression with Spatial Attention Modules (AAAI 2020 · similarity 0.91)
- From Cradle to Cane: A Two-Pass Framework for High-Fidelity Lifespan Face Aging (NeurIPS 2025 · similarity 0.89)
- FaceA-Net: Facial Attribute-Driven ID Preserving Image Generation Network (AAAI 2025 · similarity 0.84)
- AQUAFace: Age-Invariant Quality Adaptive Face Recognition for Unconstrained Selfie vs ID Verification (AAAI 2025 · similarity 0.84)
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