Papers › Restoration of Analog Videos Using Swin-UNet
Restoration of Analog Videos Using Swin-UNet
Lorenzo Agnolucci, Leonardo Galteri, Marco Bertini, Alberto del Bimbo
In this paper, we present a system to restore analog videos of historical archives. These videos often contain severe visual degradation due to the deterioration of their tape supports that require costly and slow manual interventions to recover the original content. The proposed system uses a multi-frame approach and is able to deal with severe tape mistracking, which results in completely scrambled frames. Tests on real-world videos from a major historical video archive show the effectiveness of our demo system. The code and the pre-trained model are publicly available at https://github.com/miccunifi/analog-video-restoration.
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Analog Video Restoration | TAPE | Agnolucci et al. | LPIPS | 0.060 | #2 of 7 | Archive leaderboard | report |
| Analog Video Restoration | TAPE | Agnolucci et al. | PSNR | 34.96 | #2 of 7 | Archive leaderboard | report |
| Analog Video Restoration | TAPE | Agnolucci et al. | SSIM | 0.940 | #2 of 7 | Archive leaderboard | report |
| Analog Video Restoration | TAPE | Agnolucci et al. | VMAF | 77.83 | #2 of 7 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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