SOTAVerified

Spectral Reconstruction

Papers

Showing 1–25 of 72 papers

TitleStatusHype
SpectraLift: Physics-Guided Spectral-Inversion Network for Self-Supervised Hyperspectral Image Super-Resolution—0
UnMix-NeRF: Spectral Unmixing Meets Neural Radiance FieldsCode1
Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-ResolutionCode0
FRN: Fractal-Based Recursive Spectral Reconstruction Network—0
MP-HSIR: A Multi-Prompt Framework for Universal Hyperspectral Image RestorationCode1
Unleashing Correlation and Continuity for Hyperspectral Reconstruction from RGB Images—0
Active Hyperspectral Imaging Using an Event Camera—0
Any-Resolution AI-Generated Image Detection by Spectral Learning—0
RGB to Hyperspectral: Spectral Reconstruction for Enhanced Surgical Imaging—0
GLMHA A Guided Low-rank Multi-Head Self-Attention for Efficient Image Restoration and Spectral Reconstruction—0
Cost-efficient Active Illumination Camera For Hyper-spectral Reconstruction—0
Hybrid Spatial-spectral Neural Network for Hyperspectral Image DenoisingCode0
GMSR:Gradient-Guided Mamba for Spectral Reconstruction from RGB ImagesCode1
Limitations of Data-Driven Spectral Reconstruction -- Optics-Aware Analysis and Mitigation—0
Improving Spectral Snapshot Reconstruction with Spectral-Spatial RectificationCode1
Dual Prior Unfolding for Snapshot Compressive ImagingCode1
Efficient and Accurate Hyperspectral Image Demosaicing with Neural Network Architectures—0
Learned Regularization for Inverse Problems: Insights from a Spectral ModelCode0
Learning finitely correlated states: stability of the spectral reconstruction—0
Multispectral Imaging with Fresnel Lens—0
Spec-NeRF: Multi-spectral Neural Radiance FieldsCode1
Reproducing Kernel Hilbert Space Pruning for Sparse Hyperspectral Abundance Prediction—0
TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms—0
One-shot neural band selection for spectral recovery—0
RDFNet: Regional Dynamic FISTA-Net for Spectral Snapshot Compressive ImagingCode0
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