Infrared image super-resolution
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Benchmarks
Most implemented
DifIISR: A Diffusion Model with Gradient Guidance for Infrared Image Super-Resolution
Contourlet Refinement Gate Framework for Thermal Spectrum Distribution Regularized Infrared Image Super-Resolution
IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation Model
LKFormer: Large Kernel Transformer for Infrared Image Super-Resolution
Texture and Noise Dual Adaptation for Infrared Image Super-Resolution
Infrared Image Super-Resolution: Systematic Review, and Future Trends
Papers
FaithIR: Rethinking Infrared Image Super-Resolution from Perceptual Sharpness to Task Relevant Fidelity
Infrared image super-resolution (IISR) is important for downstream tasks such as object detection and semantic segmentation. Existing IISR methods often produce artificial textures, over-sharpened edges, and spurious hig…
Infrared image super-resolutionSemantic SegmentationObject DetectionDecoupling Cross-Modality Manifold Discrepancy: Leveraging Visible Diffusion Priors for Infrared Super-Resolution
Infrared image super-resolution (IISR) mitigates the limitations imposed by low spatial resolution. Existing methods have recognized that IISR should preserve consistency in global distribution and structural information…
Infrared image super-resolutionThe First Challenge on Remote Sensing Infrared Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview
This paper presents the NTIRE 2026 Remote Sensing Infrared Image Super-Resolution (x4) Challenge, one of the associated challenges of NTIRE 2026. The challenge aims to recover high-resolution (HR) infrared images from lo…
Infrared image super-resolutionDual-Branch Remote Sensing Infrared Image Super-Resolution
Remote sensing infrared image super-resolution aims to recover sharper thermal observations from low-resolution inputs while preserving target contours, scene layout, and radiometric stability. Unlike visible-image super…
Infrared image super-resolutionToward Real-world Infrared Image Super-Resolution: A Unified Autoregressive Framework and Benchmark Dataset
Infrared image super-resolution (IISR) under real-world conditions is a practically significant yet rarely addressed task. Pioneering works are often trained and evaluated on simulated datasets or neglect the intrinsic d…
Infrared image super-resolutionRPT-SR: Regional Prior attention Transformer for infrared image Super-Resolution
General-purpose super-resolution models, particularly Vision Transformers, have achieved remarkable success but exhibit fundamental inefficiencies in common infrared imaging scenarios like surveillance and autonomous dri…
Infrared image super-resolutionAutonomous Driving