Research map / Image generation / Editing and style transfer
Cross-Spectral Face Hallucination via Disentangling Independent Factors
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add UFA for facial-shape alignment (ablation) | PACH · CASIA NIR-VIS 2.0 1-fold | Rank-1: 35.76 -> 99.00 | Helped |
| add UFA for facial-shape alignment (ablation) | PACH · CASIA NIR-VIS 2.0 1-fold | VR@FAR=0.1%: 21.36 -> 98.51 | Helped |
| add TPS with a texture prior (ablation) | PACH · CASIA NIR-VIS 2.0 1-fold | Rank-1: 86.56 -> 99.00 | Helped |
| add TPS with a texture prior (ablation) | PACH · CASIA NIR-VIS 2.0 1-fold | VR@FAR=0.1%: 81.67 -> 98.51 | Helped |
| set UFA identity-preserving loss weight λ1 to 0 (ablation) | PACH · CASIA NIR-VIS 2.0 | Rank-1: decreases 14% | Hurt |
| set UFA adversarial loss weight λ2 to 0 (ablation) | PACH · CASIA NIR-VIS 2.0 | Rank-1: decreases 0.6% | Hurt |
| set TPS total-variation weight α1 to 0 (ablation) | PACH · CASIA NIR-VIS 2.0 | Rank-1: decreases 0.5% | Hurt |
| set TPS identity-preserving loss weight α2 to 0 (ablation) | PACH · CASIA NIR-VIS 2.0 | Rank-1: decreases 11% | Hurt |
| set TPS adversarial loss weight α3 to 0 (ablation) | PACH · CASIA NIR-VIS 2.0 | Rank-1: decreases 3% | Hurt |
| increase λ1 from 1 to 10 (ablation) | PACH · CASIA NIR-VIS 2.0 | Rank-1: changes 0.8% | No clear effect |
Closest papers by meaning
- Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding (CVPR 2017 · similarity 0.88)
- Adversarial Discriminative Heterogeneous Face Recognition (AAAI 2018 · similarity 0.88)
- Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination (CVPR 2022 · similarity 0.87)
- Physically-Based Face Rendering for NIR-VIS Face Recognition (NeurIPS 2022 · similarity 0.86)
- Monocular Identity-Conditioned Facial Reflectance Reconstruction (CVPR 2024 · similarity 0.85)
- Cross-Spectral Gaussian Splatting with Spatial Occupancy Consistency (AAAI 2025 · similarity 0.83)
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