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Spectral Reconstruction

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Showing 51–72 of 72 papers

TitleStatusHype
HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging—0
Adaptive Weighted Guided Image Filtering for Depth Enhancement in Shape-From-Focus—0
Continuous Spectral Reconstruction from RGB Images via Implicit Neural Representation—0
Reconstructing spectral functions via automatic differentiationCode0
Deep Low-Dimensional Spectral Image Representation for Compressive Spectral ReconstructionCode0
Spectral Variability Augmented Sparse Unmixing of Hyperspectral Images—0
Audio Spectral Enhancement: Leveraging Autoencoders for Low Latency Reconstruction of Long, Lossy Audio SequencesCode0
A survey on computational spectral reconstruction methods from RGB to hyperspectral imaging—0
Self-Regression Learning for Blind Hyperspectral Image Fusion Without Label—0
Tuning IR-cut Filter for Illumination-aware Spectral Reconstruction from RGB—0
Spectral Reconstruction and Disparity from Spatio-Spectrally Coded Light Fields via Multi-Task Deep LearningCode0
Towards speech enhancement using a variational U-Net architecture—0
Neural network-based on-chip spectroscopy using a scalable plasmonic encoder—0
HSCNN: A Hybrid-Siamese Convolutional Neural Network for Extremely Imbalanced Multi-label Text Classification—0
NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image—0
Light Weight Residual Dense Attention Net for Spectral Reconstruction from RGB ImagesCode0
Physically Plausible Spectral Reconstruction from RGB Images—0
Spectral Reconstruction From Dispersive Blur: A Novel Light Efficient Spectral Imager—0
Spectral Reconstruction with Deep Neural Networks—0
Towards Spectral Estimation from a Single RGB Image in the Wild—0
Accurate Spectral Super-resolution from Single RGB Image Using Multi-scale CNN—0
Deeply Learned Filter Response Functions for Hyperspectral Reconstruction—0
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