Remote Sensing Infrared Image Super-Resolution

Latest papers

10 papers1 paper in the last four weeks, with none the four weeks before. 0.0% of all new papers.

TIRMamba: A Thermal-Prior-Modulated State-Space Network for Sub-Million-Parameter Infrared Image Super-Resolution
Oct 4, 2026Chun-An Lin, Tsung-Jung Liu, Yen-Chieh OuyangThermal Imaging Efficient Neural Network Inference
Department of Electrical Engineering, National Chung Hsing University, Taichung 402202, Taiwan · College of Computing and Informatics, Providence University, Taichung 433303, Taiwan
OGG-FR: Orthogonal Gradient Gaming and Frequency Rectification for Unmanned Aerial Vehicle Infrared Image Super-Resolution
Aug 10, 2026Yongsong Huang, Qingzhong Wang, Xiaofeng Liu +3Remote Sensing Image Super-Resolution Remote Sensing Infrared Image Super-Resolution
Tohoku University · Amazon Web Services · Yale University
FaithIR: Rethinking Infrared Image Super-Resolution from Perceptual Sharpness to Task Relevant Fidelity
Aug 4, 2026Axi Niu, Zhenguo Wu, Kang Zhang +3Remote Sensing Infrared Image Super-Resolution Image Super-Resolution
School of Computer Science, Northwestern Polytechnical University, Xi’an, Shaanxi, China · School of Electrical Engineering, KAIST, Daejeon, Republic of Korea · School of Aeronautics and Astronautics, Northwestern Polytechnical University, Xi’an, Shaanxi, China
BeyondFusion: Self-Aligned Latent Diffusion for Calibration-Free Infrared Super-Resolution and Infrared-Visible Fusion
Jul 27, 2026Minchong Chen, Xiaoyun Yuan, Minyu Cao +4Diffusion Models for Image Restoration Multi-Source Image Fusion
MoE Key Lab of Artificial Intelligence, Institute of AI, School of Computer Science, Shanghai Jiao Tong University, Shanghai, China · Tsinghua University, Beijing, China · Institute of Modern Optics, Nankai University, Tianjin, China
IR275K: A Benchmark for Infrared Multi-Frame Super-Resolution Toward Efficient Remote Sensing
Jul 24, 2026Jie Deng, Heyang Wang, Changxin Wang +6Remote Sensing Remote Sensing Benchmarks
Hangzhou Institute for Advanced Study, Hangzhou 310024, China. · University of Chinese Academy of Sciences, Beijing 100000, China. · Shanghai Institute of Technical Physics of the Chinese Academy of Sciences, Shanghai 200000, China.
Decoupling Cross-Modality Manifold Discrepancy: Leveraging Visible Diffusion Priors for Infrared Super-Resolution
Jul 23, 2026Yunpeng Hua, Hongwei Yu, Jiawei Li +3Diffusion Models for Image Restoration Remote Sensing Infrared Image Super-Resolution
University of Science and Technology Beijing, Beijing, China
The First Challenge on Remote Sensing Infrared Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview
Apr 23, 2026Kai Liu, Haoyang Yue, Zeli Lin +65Remote Sensing Image Super-Resolution Remote Sensing Infrared Image Super-Resolution
Dual-Branch Remote Sensing Infrared Image Super-Resolution
Apr 11, 2026Xining Ge, Gengjia Chang, Weijun Yuan +6Remote Sensing Infrared Image Super-Resolution Image Super-Resolution
Hangzhou Dianzi University · Hefei University of Technology · Jinan University +1
Toward Real-world Infrared Image Super-Resolution: A Unified Autoregressive Framework and Benchmark Dataset
Mar 5, 2026Yang Zou, Jun Ma, Zhidong Jiao +3Remote Sensing Infrared Image Super-Resolution Autoregressive Image Super-Resolution
School of Computer Science, Northwestern Polytechnical University · School of Software Technology & DUT-RU International School of ISE, Dalian University of Technology · School of Computer Science, Zhejiang University +1
RPT-SR: Regional Prior attention Transformer for infrared image Super-Resolution
Feb 17, 2026Youngwan Jin, Incheol Park, Yagiz Nalcakan +3Remote Sensing Infrared Image Super-Resolution Image Super-Resolution
Yonsei University · BK21 Graduate Program in Intelligent Semiconductor Technology

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

Chun-An Lin, Tsung-Jung Liu, Yen-Chieh Ouyang

Department of Electrical Engineering, National Chung Hsing University, Taichung 402202, Taiwan · College of Computing and Informatics, Providence University, Taichung 433303, Taiwan

Thermal Imaging Efficient Neural Network Inference Remote Sensing Infrared Image Super-Resolution Visual SSMs Image Super-Resolution

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Infrared image super-resolution is currently led by Mamba-based networks with 26 to 37 million parameters, which are difficult to deploy on the airborne and handheld platforms where thermal imaging is most needed. This paper presents TIRMamba, a network with 896K to 910K parameters for single-channel thermal imagery. A Thermal Prior Highway computes gradient, local-contrast and spectral cues once at the input and, through one adapter per residual group, modulates a weight-tied bidirectional state-space trunk and gates its dual-scale detail branch; a tri-path reconstruction adds the learned residual to a bicubic radiometric baseline. Because the standard benchmark provides only 265 infrared training images and evaluates fusion products on full images, we train with a replay strategy: grayscale DIV2K pre-training followed by fine-tuning on 64-pixel patches drawn with equal probability from the infrared and natural corpora. At scale factor 4, TIRMamba matches the strongest protocol-trained methods on both official test sets with 29 to 40 times fewer parameters and 2.8 to 9.4 times lower latency; at scale factor 2 it gives the highest SSIM on both. A variant with prior-conditioned selectivity, TIRMamba-Rad, corrects a 3 dB raw-thermal failure of an intermediate size-invariant design and gives the best results at scale factor 4 on raw-thermal, unmanned-aerial-vehicle and independent-sensor test sets. Code and trained models will be released at https://github.com/julian135707/TIRMamba upon acceptance.