TIRMamba: A Thermal-Prior-Modulated State-Space Network for Sub-Million-Parameter Infrared Image Super-Resolution

eess.IV, cs.CV, cs.LG

Submitted: 2026-10-04

Updated: 2026-10-04

Comments: 13 pages, 4 figures, 5 tables. Submitted to IEEE Transactions on Geoscience and Remote Sensing. Code and trained models will be released at https://github.com/julian135707/TIRMamba upon acceptance

Code: https://github.com/julian135707/TIRMamba

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• GPSMamba: A Global Phase and Spectral Prompt-guided Mamba for Infrared Image Super-Resolution
• SwinFIR: Revisiting the SwinIR with Fast Fourier Convolution and Improved Training for Image Super-Resolution
• Learning Adaptive Dynamical Features via Multi-$\tau$ Liquid-Mamba for All-in-one Image Restoration
• The First Challenge on Remote Sensing Infrared Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview

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