Hyperspectral Image Super-Resolution

Benchmarks archive 2025-07-28

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Datasets archive 2025-07-28

2 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

26 shown of 26 papers with code (52 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous Datasets
  19 Jan 2021 2 repositories listed
  With these contributions, our method is able to learn from heterogeneous datasets and lift the requirement for having a large amount of HD HSI training samples.
• Learning Spatial-Spectral Prior for Super-Resolution of Hyperspectral Imagery
  18 May 2020 2 repositories listed
  Recently, single gray/RGB image super-resolution reconstruction task has been extensively studied and made significant progress by leveraging the advanced machine learning techniques based on deep convolutional neural…
• DACN: Dual-Attention Convolutional Network for Hyperspectral Image Super-Resolution
  5 Jun 2025 1 repository listed
  2D convolutional neural networks (CNNs) have attracted significant attention for hyperspectral image super-resolution tasks.
• HSRMamba: Efficient Wavelet Stripe State Space Model for Hyperspectral Image Super-Resolution
  16 May 2025 1 repository listed
  While maintaining the computational efficiency of Visual Mamba, we introduce a strip-based scanning scheme to effectively reduce artifacts from global unidirectional scanning.
• A Fusion-Guided Inception Network for Hyperspectral Image Super-Resolution
  6 May 2025 1 repository listed
  The fusion of low-spatial-resolution hyperspectral images (HSIs) with high-spatial-resolution conventional images (e.
• Towards Lightweight Hyperspectral Image Super-Resolution with Depthwise Separable Dilated Convolutional Network
  1 May 2025 1 repository listed
  Specifically, our model leverages multiple depthwise separable convolutions, similar to the MobileNet architecture, and further incorporates a dilated convolution fusion block to make the model more flexible for the…
• HSRMamba: Contextual Spatial-Spectral State Space Model for Single Image Hyperspectral Super-Resolution
  30 Jan 2025 1 repository listed
  Mamba has demonstrated exceptional performance in visual tasks due to its powerful global modeling capabilities and linear computational complexity, offering considerable potential in hyperspectral image…
• VolFormer: Explore More Comprehensive Cube Interaction for Hyperspectral Image Restoration and Beyond
  1 Jan 2025 1 repository listed
  To tackle the above drawback, we propose a VolFormer, a volumetric self-attention embedded Transformer network for single hyperspectral image restoration.
• EigenSR: Eigenimage-Bridged Pre-Trained RGB Learners for Single Hyperspectral Image Super-Resolution
  6 Sep 2024 1 repository listed
  In recent years, research on RGB SR has shown that models pre-trained on large-scale benchmark datasets can greatly improve performance on unseen data, which may stand as a remedy for HSI.
• Cross-Scope Spatial-Spectral Information Aggregation for Hyperspectral Image Super-Resolution
  29 Nov 2023 1 repository listed
  The prevailing transformer-based methods have not adequately captured the long-range dependencies in both spectral and spatial dimensions.
• A Spectral Diffusion Prior for Hyperspectral Image Super-Resolution
  15 Nov 2023 1 repository listed
  Motivated by the success of diffusion models, we propose a novel spectral diffusion prior for fusion-based HSI super-resolution.
• ESSAformer: Efficient Transformer for Hyperspectral Image Super-resolution
  26 Jul 2023 1 repository listed Syntology ran 7 of 9 samples · 2 unverified
  Single hyperspectral image super-resolution (single-HSI-SR) aims to restore a high-resolution hyperspectral image from a low-resolution observation.
• Hyperspectral Image Super Resolution with Real Unaligned RGB Guidance
  13 Feb 2023 1 repository listed
  The features of RGB reference images are then processed by a multi-stage alignment module to explicitly align the features of RGB reference with the LR HSI.
• U2Net: A General Framework with Spatial-Spectral-Integrated Double U-Net for Image Fusion
  13 Dec 2022 1 repository listed
  The U2Net utilizes a spatial U-Net and a spectral U-Net to extract spatial details and spectral characteristics, which allows for the discriminative and hierarchical learning of features from diverse images.
• Deep SURE for Unsupervised Remote Sensing Image Fusion
  19 Oct 2022 1 repository listed
  The main motivation is that training a CNN with this SURE loss function is unsupervised and avoids overfitting.
• Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolution
  30 May 2022 1 repository listed
  Then, we incorporate the proposed feature embedding scheme into a source-consistent super-resolution framework that is physically-interpretable, producing lightweight PDE-Net, in which high-resolution (HR) HS images are…
• Decoupled-and-Coupled Networks: Self-Supervised Hyperspectral Image Super-Resolution with Subpixel Fusion
  7 May 2022 1 repository listed
  Enormous efforts have been recently made to super-resolve hyperspectral (HS) images with the aid of high spatial resolution multispectral (MS) images.
• Dual-Stage Approach Toward Hyperspectral Image Super-Resolution
  9 Apr 2022 1 repository listed
  Hyperspectral image produces high spectral resolution at the sacrifice of spatial resolution.
• Hyperspectral Image Super-resolution with Deep Priors and Degradation Model Inversion
  24 Jan 2022 1 repository listed
  To overcome inherent hardware limitations of hyperspectral imaging systems with respect to their spatial resolution, fusion-based hyperspectral image (HSI) super-resolution is attracting increasing attention.
• Enhanced Hyperspectral Image Super-Resolution via RGB Fusion and TV-TV Minimization
  13 Jun 2021 1 repository listed
  Such methods, however, cannot guarantee that the input measurements are satisfied in the recovered image, since the learned parameters by the network are applied to every test image.
• Pansharpening PRISMA Data for Marine Plastic Litter Detection Using Plastic Indexes
  19 Apr 2021 1 repository listed
  The required pre-processing steps have been defined and 13 pansharpening methods have been applied and evaluated for their ability to spectrally discriminate plastics from water.
• Hyperspectral Image Super-Resolution via Deep Prior Regularization with Parameter Estimation
  9 Sep 2020 1 repository listed
  Furthermore, the regularization parameter is simultaneously estimated to automatically adjust contribution of the physical model and {the} learned prior to reconstruct the final HR HSI.
• Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution
  10 Jul 2020 1 repository listed
  The recent advancement of deep learning techniques has made great progress on hyperspectral image super-resolution (HSI-SR).
• Hyperspectral Image Super-resolution via Deep Progressive Zero-centric Residual Learning
  18 Jun 2020 1 repository listed
  Specifically, PZRes-Net learns a high resolution and \textit{zero-centric} residual image, which contains high-frequency spatial details of the scene across all spectral bands, from both inputs in a progressive fashion…
• Hyperspectral Image Super-Resolution With Optimized RGB Guidance
  1 Jun 2019 1 repository listed
  To overcome the limitations of existing hyperspectral cameras on spatial/temporal resolution, fusing a low resolution hyperspectral image (HSI) with a high resolution RGB (or multispectral) image into a high resolution…
• Unsupervised and Unregistered Hyperspectral Image Super-Resolution with Mutual Dirichlet-Net
  27 Apr 2019 1 repository listed
  With this design, the network allows to extract correlated spectral and spatial information from unregistered images that better preserves the spectral information.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.