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PGDiff: Guiding Diffusion Models for Versatile Face Restoration via Partial Guidance
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Replace fixed degradation-model guidance with guidance on desired image properties | PGDiff · Blind face restoration, inpainting, and colorization | FID | Mixed |
| Add identity reference guidance | PGDiff blind face restoration · CelebRef-HQ synthetic | IDS: 0.44 -> 0.76; increasing by 0.32 | Helped |
| Add dynamic guidance weight instead of constant guidance scale (ablation) | PGDiff face inpainting · Face inpainting | Similarity and sharpness of unmasked regions | Helped |
| Use multiple gradient steps rather than one guidance step (ablation) | PGDiff blind face restoration · Blind face restoration | Artifact removal and detail quality: N=1, 2, and 3 | Helped |
| Add perceptual and adversarial loss guidance | PGDiff blind face restoration · Blind face restoration | Fidelity and photo-realism | Helped |
| Add identity loss guidance | CodeFormer with PGDiff guidance · Reference-based face restoration | Recovery of personal details | Helped |
Closest papers by meaning
- Self-Supervised Selective-Guided Diffusion Model for Old-Photo Face Restoration (NeurIPS 2025 · similarity 0.91)
- Learning Diffusion Texture Priors for Image Restoration (CVPR 2024 · similarity 0.89)
- Overcoming False Illusions in Real-World Face Restoration with Multi-Modal Guided Diffusion Model (ICLR 2025 · similarity 0.88)
- A Variational Perspective on Solving Inverse Problems with Diffusion Models (ICLR 2024 · similarity 0.88)
- Visual-Instructed Degradation Diffusion for All-in-One Image Restoration (CVPR 2025 · similarity 0.88)
- OSDFace: One-Step Diffusion Model for Face Restoration (CVPR 2025 · similarity 0.87)
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