Research map / Image generation / Image restoration
GAN Prior Embedded Network for Blind Face Restoration in the Wild
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| fine-tune the embedded GAN prior with synthesized low/high-quality pairs (ablation) | GPEN · CelebA-HQ synthetic BFR | FID: 92.71 -> 31.72 | Helped |
| add noise inputs to the GAN blocks (ablation) | GPEN · CelebA-HQ synthetic BFR | LPIPS: 0.709 -> 0.346 | Helped |
| concatenate noise inputs rather than add them to convolutions (ablation) | GPEN · CelebA-HQ synthetic BFR | FID: 34.26 -> 31.72 | Helped |
| concatenate noise inputs rather than add them to convolutions (ablation) | GPEN · CelebA-HQ synthetic BFR | PSNR: 20.71 -> 20.80 | No clear effect |
Closest papers by meaning
- Towards Real-World Blind Face Restoration With Generative Facial Prior (CVPR 2021 · similarity 0.92)
- Blind Face Restoration under Extreme Conditions: Leveraging 3D-2D Prior Fusion for Superior Structural and Texture Recovery (AAAI 2024 · similarity 0.87)
- Diffusion-driven GAN Inversion for Multi-Modal Face Image Generation (CVPR 2024 · similarity 0.86)
- OSDFace: One-Step Diffusion Model for Face Restoration (CVPR 2025 · similarity 0.86)
- In-N-Out: Faithful 3D GAN Inversion with Volumetric Decomposition for Face Editing (CVPR 2024 · similarity 0.86)
- Learning Degradation-unaware Representation with Prior-based Latent Transformations for Blind Face Restoration (CVPR 2024 · similarity 0.85)
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