Papers with Code 아카이브

Spectral Reconstruction

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전체 기법전체 데이터셋

하위 태스크

0

평가표

4

보존된 평가 기록

40

논문

이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.

SpectraLift: Physics-Guided Spectral-Inversion Network for Self-Supervised Hyperspectral Image Super-Resolution

UnMix-NeRF: Spectral Unmixing Meets Neural Radiance Fields

Model-Guided Network with Cluster-Based Operators for Spatio-Spectral Super-Resolution

FRN: Fractal-Based Recursive Spectral Reconstruction Network

MP-HSIR: A Multi-Prompt Framework for Universal Hyperspectral Image Restoration

Unleashing Correlation and Continuity for Hyperspectral Reconstruction from RGB Images

Any-Resolution AI-Generated Image Detection by Spectral Learning

RGB to Hyperspectral: Spectral Reconstruction for Enhanced Surgical Imaging

GLMHA A Guided Low-rank Multi-Head Self-Attention for Efficient Image Restoration and Spectral Reconstruction

Cost-efficient Active Illumination Camera For Hyper-spectral Reconstruction

Hybrid Spatial-spectral Neural Network for Hyperspectral Image Denoising

GMSR:Gradient-Guided Mamba for Spectral Reconstruction from RGB Images

Limitations of Data-Driven Spectral Reconstruction -- Optics-Aware Analysis and Mitigation

Efficient and Accurate Hyperspectral Image Demosaicing with Neural Network Architectures

Learned Regularization for Inverse Problems: Insights from a Spectral Model

Learning finitely correlated states: stability of the spectral reconstruction

Multispectral Imaging with Fresnel Lens

Spec-NeRF: Multi-spectral Neural Radiance Fields

Reproducing Kernel Hilbert Space Pruning for Sparse Hyperspectral Abundance Prediction

TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms

One-shot neural band selection for spectral recovery

RDFNet: Regional Dynamic FISTA-Net for Spectral Snapshot Compressive Imaging

Synthetic Hyperspectral Array Video Database with Applications to Cross-Spectral Reconstruction and Hyperspectral Video Coding

Deep-learning-based on-chip rapid spectral imaging with high spatial resolution

Residual Degradation Learning Unfolding Framework with Mixing Priors across Spectral and Spatial for Compressive Spectral Imaging

Spatio-spectral Image Reconstruction Using Non-local Filtering

Hyperspectral Image Reconstruction from Multispectral Images Using Non-Local Filtering

DDX7: Differentiable FM Synthesis of Musical Instrument Sounds

Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging

MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction

Real-time Hyperspectral Imaging in Hardware via Trained Metasurface Encoders

Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction

HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging

Adaptive Weighted Guided Image Filtering for Depth Enhancement in Shape-From-Focus

Continuous Spectral Reconstruction from RGB Images via Implicit Neural Representation

ADJUST: A Dictionary-Based Joint Reconstruction and Unmixing Method for Spectral Tomography

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.