Showing cs.CVShow all
3 papers · 1 filter
cs.CV2026
DART: A Degradation-Aware Recurrent Transformer for Archival Film Restoration
MikoÅaj JastrzÄbski, Wojciech KozÅowski, Kamil Adamczewski
Archival film restoration is a challenging problem because historical footage contains compound degradations such as scratches, dust, blur, noise, flicker, and photometric aging, w…
cs.CV2026
AbsoluteDegradation: A Physics-Inspired Synthetic Film-Degradation Pipeline and Archival Film Restoration Benchmark
MikoÅaj JastrzÄbski, Dawid Glinkowski, Dawid ZieliÅski +3
Restoring archival film remains a fundamentally challenging problem due to the absence of paired training data and the lack of standardized evaluation benchmarks. Pristine versions…
cs.CV2026
Unifying Deep Stochastic Processes for Image Enhancement
Wojciech KozÅowski, Wojciech Kozłowski, RadosÅaw KuczbaÅski +5
Deep stochastic processes have recently become a central paradigm for image enhancement, with many methods explicitly conditioning the stochastic trajectory on the degraded input.…