mlsanityData to 14 Oct 2026

HSR-Diff:Hyperspectral Image Super-Resolution via Conditional Diffusion Models

arXiv 2306.12085 ↗First posted 21 Jun 2023cs.CV eess.IVcited by 31

On the map: Diffusion models → Inverse problems and image restoration

Abstract (arXiv)

Despite the proven significance of hyperspectral images (HSIs) in performing various computer vision tasks, its potential is adversely affected by the low-resolution (LR) property in the spatial domain, resulting from multiple physical factors. Inspired by recent advancements in deep generative models, we propose an HSI Super-resolution (SR) approach with Conditional Diffusion Models (HSR-Diff) that merges a high-resolution (HR) multispectral image (MSI) with the corresponding LR-HSI. HSR-Diff generates an HR-HSI via repeated refinement, in which the HR-HSI is initialized with pure Gaussian noise and iteratively refined. At each iteration, the noise is removed with a Conditional Denoising Transformer (CDF ormer) that is trained on denoising at different noise levels, conditioned on the hierarchical feature maps of HR-MSI and LR-HSI. In addition, a progressive learning strategy is employed to exploit the global information of full-resolution images. Systematic experiments have been conducted on four public datasets, demonstrating that HSR-Diff outperforms state-of-the-art methods.

Key facts. Cited by 31 papers in the map (data through 14 Oct 2026). Placed in Inverse problems and image restoration, one of 14 directions in Diffusion models. Builds on 29 of its 57 references that are in the map. First posted on arXiv 21 Jun 2023.

Builds on

29 of 57 references.

References · 29

  1. 2020Denoising Diffusion Probabilistic Modelscited by 21,076
  2. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,139
  3. 2022Generative Adversarial Networkscited by 5,627
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  9. 2021Restormer: Efficient Transformer for High-Resolution Image Restorationcited by 1,627
  10. 2018Glow: Generative Flow with Invertible 1x1 Convolutionscited by 1,545
  11. 2021Image Super-Resolution via Iterative Refinementcited by 1,511
  12. 2014Image Super-Resolution Using Deep Convolutional Networkscited by 1,224
17 more
  1. 2016Pixel Recurrent Neural Networkscited by 816
  2. 2021CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classificationcited by 806
  3. 2020NVAE: A Deep Hierarchical Variational Autoencodercited by 637
  4. 2020WaveGrad: Estimating Gradients for Waveform Generationcited by 622
  5. 2017PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modificationscited by 417
  6. 2023Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Modelscited by 375
  7. 2018Material Based Object Tracking in Hyperspectral Videos: Benchmark and Algorithmscited by 36
  8. 2021Fusformer: A Transformer-based Fusion Approach for Hyperspectral Image Super-resolutioncited by 31
  9. 2018Unsupervised Sparse Dirichlet-Net for Hyperspectral Image Super-Resolutioncited by 26
  10. 2014Hyperspectral and Multispectral Image Fusion based on a Sparse Representationcited by 23
  11. 2020Coupled Convolutional Neural Network with Adaptive Response Function Learning for Unsupervised Hyperspectral Super-Resolutioncited by 15
  12. 2022Synthetic Data Supervised Salient Object Detectioncited by 15
  13. 2021A Latent Encoder Coupled Generative Adversarial Network (LE-GAN) for Efficient Hyperspectral Image Super-resolutioncited by 14
  14. 2018Super-Resolution for Hyperspectral and Multispectral Image Fusion Accounting for Seasonal Spectral Variabilitycited by 9
  15. 20213D-ANAS: 3D Asymmetric Neural Architecture Search for Fast Hyperspectral Image Classificationcited by 5
  16. 2022Hyperspectral Image Super-resolution with Deep Priors and Degradation Model Inversioncited by 3
  17. 2021Grafting Transformer on Automatically Designed Convolutional Neural Network for Hyperspectral Image Classificationcited by 2

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 5; 2024: 12; 2025: 12; 2026: 2.

31 papers.

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  1. 2023Diffusion Models for Image Restoration and Enhancement: A Comprehensive Surveycited by 109
  2. 2024Diffusion Models in Low-Level Vision: A Surveycited by 74
  3. 2024CRS-Diff: Controllable Remote Sensing Image Generation with Diffusion Modelcited by 55
  4. 2023UniGS: Unified Representation for Image Generation and Segmentationcited by 29
  5. 2024Unsupervised Hyperspectral Image Super-Resolution via Self-Supervised Modality Decouplingcited by 26
  6. 2024Building Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion Modelcited by 20
  7. 2024A Comprehensive Survey for Hyperspectral Image Classification: The Evolution from Conventional to Transformers and Mamba Modelscited by 19
  8. 2025Unaligned RGB Guided Hyperspectral Image Super-Resolution with Spatial-Spectral Concordancecited by 19
  9. 2023ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolutioncited by 18
  10. 2024FocusDiffuser: Perceiving Local Disparities for Camouflaged Object Detectioncited by 14
  11. 2024On Improved Conditioning Mechanisms and Pre-training Strategies for Diffusion Modelscited by 12
  12. 2023A Spectral Diffusion Prior for Hyperspectral Image Super-Resolutioncited by 8
19 more
  1. 2023Image is All You Need to Empower Large-scale Diffusion Models for In-Domain Generationcited by 7
  2. 2025MP-HSIR: A Multi-Prompt Framework for Universal Hyperspectral Image Restorationcited by 6
  3. 2024Unpaired Volumetric Harmonization of Brain MRI with Conditional Latent Diffusioncited by 5
  4. 2024Hipandas: Hyperspectral Image Joint Denoising and Super-Resolution by Image Fusion with the Panchromatic Imagecited by 4
  5. 2025NeurOp-Diff:Continuous Remote Sensing Image Super-Resolution via Neural Operator Diffusioncited by 3
  6. 2024RoofDiffusion: Constructing Roofs from Severely Corrupted Point Data via Diffusioncited by 2
  7. 2024Neural Shr"odinger Bridge Matching for Pansharpeningcited by 2
  8. 2024HSR-KAN: Efficient Hyperspectral Image Super-Resolution via Kolmogorov-Arnold Networkscited by 2
  9. 2025Parasite: A Steganography-based Backdoor Attack Framework for Diffusion Modelscited by 2
  10. 2025Diffusion Models for Hyperspectral Image Analysis: A Comprehensive Reviewcited by 2
  11. 2025AI-Driven HSI: Multimodality, Fusion, Challenges, and the Deep Learning Revolutioncited by 1
  12. 2025Multispectral Demosaicing via Dual Camerascited by 1
  13. 2025GEWDiff: Geometric Enhanced Wavelet-based Diffusion Model for Hyperspectral Image Super-resolutioncited by 1
  14. 2025Degradation Alchemy: Self-Supervised Unknown-to-Known Transformation for Blind Hyperspectral Image Fusioncited by 0
  15. 2025Environment-Aware Satellite Image Generation with Diffusion Modelscited by 0
  16. 2025Segmentation-Aware Latent Diffusion for Satellite Image Super-Resolution: Enabling Smallholder Farm Boundary Delineationcited by 0
  17. 2025Uncertainty Quantification in HSI Reconstruction using Physics-Aware Diffusion Priors and Optics-Encoded Measurementscited by 0
  18. 2026Self-Supervised Super-Resolution for Sentinel-5P Hyperspectral Imagescited by 0
  19. 2026HIR-ALIGN: Enhancing Hyperspectral Image Restoration via Diffusion-Based Data Generationcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2024HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models
  2. 2023Hyperspectral and Multispectral Image Fusion Using the Conditional Denoising Diffusion Probabilistic Model
  3. 2025Self-Learning Hyperspectral and Multispectral Image Fusion via Adaptive Residual Guided Subspace Diffusion Model
  4. 2024Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network
  5. 2026HSI-VAR: Rethinking Hyperspectral Restoration through Spatial-Spectral Visual Autoregression
  6. 2024HSIGene: A Foundation Model For Hyperspectral Image Generation
  7. 2023SpectralDiff: A Generative Framework for Hyperspectral Image Classification with Diffusion Models
  8. 2025Hyperspectral Image Generation with Unmixing Guided Diffusion Model