Research map / Image generation / Image restoration
Robust Unsupervised StyleGAN Image Restoration
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use the proposed three-phase latent extension, normalized gradient descent, and multiresolution loss with one fixed hyperparameter set | StyleGAN2-ADA restoration · Upsampling, denoising, deartifacting, and inpainting at XS–XL degradation levels | accuracy (LPIPS) | Helped |
| Use the proposed method rather than DDRM | StyleGAN2-ADA restoration · Inexact upsampling, nonlinear denoising, and uncropping | accuracy (LPIPS): 0.559 vs 0.539; 0.530 vs 0.450; 0.468 vs 0.418 | Helped |
| Use the proposed method rather than DDRM | StyleGAN2-ADA restoration · Exact upsampling and linear denoising | accuracy (LPIPS): 0.412 vs 0.443; 0.336 vs 0.452 | Hurt |
| Use the proposed method rather than DDRM | StyleGAN2-ADA restoration · All DDRM comparison scenarios | realism (pFID): 44.75 vs 18.92; 67.06 vs 32.81; 43.28 vs 19.25; 156.1 vs 19.06; 26.12 vs 25.71; 34.33 vs 17.645 | Helped |
| Compose multiple degradation operators without retuning hyperparameters | Proposed StyleGAN restoration method · Medium-level composed degradations | accuracy (LPIPS) | Helped |
Closest papers by meaning
- High-Resolution GAN Inversion for Degraded Images in Large Diverse Datasets (AAAI 2023 · similarity 0.92)
- ReGANIE: Rectifying GAN Inversion Errors for Accurate Real Image Editing (AAAI 2023 · similarity 0.91)
- StyleRes: Transforming the Residuals for Real Image Editing With StyleGAN (CVPR 2023 · similarity 0.90)
- pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization (NeurIPS 2024 · similarity 0.86)
- Gradual Residuals Alignment: A Dual-Stream Framework for GAN Inversion and Image Attribute Editing (AAAI 2024 · similarity 0.86)
- WarpGAN: Warping-Guided 3D GAN Inversion with Style-Based Novel View Inpainting (NeurIPS 2025 · similarity 0.86)
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