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Learning Face Age Progression: A Pyramid Architecture of GANs
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use a pyramid discriminator instead of a one-pathway discriminator (ablation) | Face age progression GAN · MORPH and CACD | mean absolute error of estimated age across three age clusters: 2.69 and 2.52 years for one-pathway; 0.79 and 0.50 years for pyramid | Helped |
| use a pyramid discriminator instead of a one-pathway discriminator (ablation) | Face age progression GAN · MORPH and CACD | verification confidence: Table 2 vs Table 3 | Helped |
| progress faces into older age clusters | Pyramid GAN · MORPH and CACD | estimated age: MORPH: 42.84, 50.78, and 59.91; CACD: 44.29, 48.34, and 52.02 | Helped |
| preserve identity using the input-output face descriptor loss | Pyramid GAN · MORPH and CACD | verification rate: MORPH: 100%, 98.91%, and 93.09%; CACD: 99.99%, 99.91%, and 98.28% | Helped |
| evaluate age progression with human pairwise preferences | Pyramid GAN · 138 paired images from 54 individuals | share of observer votes favoring the method: 69.78% favor the proposed method, 20.80% favor the prior work, and 9.42% indicate that they are about the same | Helped |
Closest papers by meaning
- Continuous Face Aging via Self-Estimated Residual Age Embedding (CVPR 2021 · similarity 0.94)
- Age Progression and Regression with Spatial Attention Modules (AAAI 2020 · similarity 0.92)
- Face Aging With Identity-Preserved Conditional Generative Adversarial Networks (CVPR 2018 · similarity 0.92)
- Attribute-Aware Face Aging With Wavelet-Based Generative Adversarial Networks (CVPR 2019 · similarity 0.92)
- From Cradle to Cane: A Two-Pass Framework for High-Fidelity Lifespan Face Aging (NeurIPS 2025 · similarity 0.86)
- A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark (CVPR 2024 · similarity 0.83)
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