DART: A Degradation-Aware Recurrent Transformer for Archival Film Restoration
Archival film restoration is a challenging problem because historical footage contains compound degradations such as scratches, dust, blur, noise, flicker, and photometric aging, while clean reference videos are unavailable. Existing video restoration methods largely treat these degradations implicitly, reconstructing frames without explicit knowledge of where damage occurs or how severe it is. We propose DART, a degradation-aware recurrent transformer for archival film restoration. DART predicts and propagates a soft defect mask through time, using it to guide temporal fusion and condition the restoration network on both damage location and severity. This makes the restoration process ex...
| Authors | Mikołaj Jastrzębski, Wojciech Kozłowski, Kamil Adamczewski |
|---|---|
| Primary category | cs.CV |
| Published | 23 July 2026 |
| Last updated at source | 4 October 2026 |
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