FSCM is a spectral-guided GAN with state-space modeling, frequency enhancement via wavelets and Fourier, and dual-stream gating for improved infrared hyperspectral image colorization.
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HCFSSNet uses convolutional layers plus a Vision Frequency State Space block with omni-directional scanning and frequency reweighting to reach competitive rate-distortion performance in learned image compression.
citing papers explorer
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FSCM: Frequency-Enhanced Spatial-Spectral Coupled Mamba for Infrared Hyperspectral Image Colorization
FSCM is a spectral-guided GAN with state-space modeling, frequency enhancement via wavelets and Fourier, and dual-stream gating for improved infrared hyperspectral image colorization.
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A Compact Hybrid Convolution--Frequency State Space Network for Learned Image Compression
HCFSSNet uses convolutional layers plus a Vision Frequency State Space block with omni-directional scanning and frequency reweighting to reach competitive rate-distortion performance in learned image compression.