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FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use FaceID-GAN rather than FF-GAN | face frontalization and verification · LFW | verification accuracy: 96.42 ± 0.89 -> 97.01 ± 0.83 | Helped |
| Use FaceID-GAN rather than FF-GAN | face verification · IJB-A | verification accuracy @FIR=0.01: 85.2 ± 1.0 -> 87.6 ± 1.1 | Helped |
| Use FaceID-GAN rather than FF-GAN | face verification · IJB-A | verification accuracy @FIR=0.001: 66.3 ± 3.3 -> 69.2 ± 2.7 | Helped |
| Add identity classifier C to the generator's competing players (ablation) | FaceID-GAN · face synthesis | visual quality and identity preservation: 56% votes for higher quality; 72% for better preserving identity | Helped |
| Add identity classifier C (ablation) | FaceID-GAN · face synthesis | identity preservation | Helped |
| Add shape estimator P (ablation) | FaceID-GAN · face synthesis | pose and expression control | Helped |
| Add shape estimator P (ablation) | FaceID-GAN · face synthesis with extreme poses | identity preservation | Helped |
| Add discriminator D (ablation) | FaceID-GAN · face synthesis | training convergence | Helped |
| Use information symmetry so both real and synthesized identity features come from C (ablation) | FaceID-GAN · training | training stability | Helped |
Closest papers by meaning
- Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis (NeurIPS 2017 · similarity 0.92)
- Towards Open-Set Identity Preserving Face Synthesis (CVPR 2018 · similarity 0.91)
- A 3D GAN for Improved Large-Pose Facial Recognition (CVPR 2021 · similarity 0.89)
- Diffusion-driven GAN Inversion for Multi-Modal Face Image Generation (CVPR 2024 · similarity 0.87)
- FaceA-Net: Facial Attribute-Driven ID Preserving Image Generation Network (AAAI 2025 · similarity 0.86)
- Data Synthesis with Diverse Styles for Face Recognition via 3DMM-Guided Diffusion (CVPR 2025 · similarity 0.86)
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