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Found 4 papers, 2 papers with code
Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution
Self-supervised cross-modal super-resolution (SR) can overcome the difficulty of acquiring paired training data, but is challenging because only low-resolution (LR) source and high-resolution (HR) guide images from different modalities are available.
Illumination invariant hyperspectral image unmixing based on a digital surface model
Although many spectral unmixing models have been developed to address spectral variability caused by variable incident illuminations, the mechanism of the spectral variability is still unclear.
Guided Deep Decoder: Unsupervised Image Pair Fusion
The proposed network is composed of an encoder-decoder network that exploits multi-scale features of a guidance image and a deep decoder network that generates an output image.
Hyperspectral unmixing with spectral variability using adaptive bundles and double sparsity
The proposed method is designed to promote sparsity on the selection of both spectra and classes within each pixel.
