AI RESEARCH
Expandable, Compressible, Mineable: Open-World Thermal Image Restoration
arXiv CS.CV
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ArXi:2605.16967v1 Announce Type: new In open-world settings, thermal infrared (TIR) image degradations continuously emerge and evolve, while most existing all-in-one restoration methods are built on a closed-set assumption and struggle to continually adapt to novel degradations. To address this, we propose ECMRNet, an Expandable, Compressible, and Mineable Restoration Network for open-world TIR restoration from a continual learning perspective.