Research map / Image generation / Image restoration
Pixel-Wise Warping for Deep Image Stitching
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| replace homography-based warping with pixel-wise warping | image stitching · PDIS validation | PSNR: 31.4430 -> 34.8244 | Helped |
| replace homography-based warping with pixel-wise warping | image stitching · PDIS validation | LPIPS: 0.0341 -> 0.0066 | Helped |
| replace homography-based warping with pixel-wise warping | image stitching · UDIS dataset | PSNR: 21.1715 -> 23.3109 | Helped |
| add epipolar loss to warp estimation (ablation) | PWM · PDIS target image, total region | AED: 8.86 -> 8.08 | Helped |
| add epipolar loss to warp estimation (ablation) | PWM · PDIS target image, total region | LP: 1.48 -> 1.51 | Hurt |
| add line-preservation loss to warp estimation (ablation) | PWM with epipolar loss · PDIS target image, total region | LP: 1.51 -> 1.27 | Helped |
| add GT Warp branch (ablation) | SIGMo · PDIS whole region | LPIPS: 0.1746 -> 0.1220 | Helped |
| add Domain Adaptation branch (ablation) | SIGMo with PW+GW branches · UDIS reference region | PSNR: 32.05 -> 35.53 | Helped |
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- Towards Progressive Multi-Frequency Representation for Image Warping (CVPR 2024 · similarity 0.85)
- RecDiffusion: Rectangling for Image Stitching with Diffusion Models (CVPR 2024 · similarity 0.84)
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- Adapting Dense Matching for Homography Estimation with Grid-based Acceleration (CVPR 2025 · similarity 0.83)
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