Research map / Image generation / Editing and style transfer
Region-Aware Face Swapping
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use RAFSwap instead of MegaFS | Face swapping · FaceForensics++ | ID Ret.: 90.83 -> 96.70 | Helped |
| Use RAFSwap instead of MegaFS | Face swapping · CelebA-HQ | FID: 18.81 -> 13.25 | Helped |
| Use RAFSwap instead of MegaFS | Face swapping · CelebA-HQ | Exp.: 3.13 -> 3.15 | Hurt |
| Replace AdaIN fusion with FRA and SFA (ablation) | RAFSwap feature fusion · FaceForensics++ | ID Ret.: 92.48 -> 96.69 | Helped |
| Add SFA to FRA (ablation) | RAFSwap · FaceForensics++ | ID Ret.: 96.63 -> 96.69 | Helped |
| Add FRA to SFA (ablation) | RAFSwap · FaceForensics++ | ID Ret.: 93.68 -> 96.69 | Helped |
| Add FMP soft mask (ablation) | RAFSwap with FRA and SFA · FaceForensics++ | ID Ret.: 96.69 -> 96.70 | Helped |
| Replace Transformer with Nonlocal layer (ablation) | RAFSwap · FaceForensics++ | ID Ret.: 96.70 -> 96.50 | Hurt |
| Increase Transformer depth from one to two layers (ablation) | RAFSwap · FaceForensics++ | ID Ret.: 96.70 -> 96.71 | No clear effect |
| Increase Transformer depth from one to three layers (ablation) | RAFSwap · FaceForensics++ | ID Ret.: 96.70 -> 96.73 | No clear effect |
| Use a soft predicted mask instead of no mask (ablation) | RAFSwap · FaceForensics++ | ID Ret.: 96.69 -> 96.70 | Helped |
Closest papers by meaning
- Fine-Grained Face Swapping via Regional GAN Inversion (CVPR 2023 · similarity 0.89)
- FlowFace: Semantic Flow-Guided Shape-Aware Face Swapping (AAAI 2023 · similarity 0.88)
- RealisID: Scale-Robust and Fine-Controllable Identity Customization via Local and Global Complementation (AAAI 2025 · similarity 0.85)
- When StyleGAN Meets Stable Diffusion: a W+ Adapter for Personalized Image Generation (CVPR 2024 · similarity 0.84)
- Zero-Shot Head Swapping in Real-World Scenarios (CVPR 2025 · similarity 0.84)
- FSFM: A Generalizable Face Security Foundation Model via Self-Supervised Facial Representation Learning (CVPR 2025 · similarity 0.84)
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