
A deep unfolding network with hybrid-attention Transformer, dubbed HATNet, is proposed to efficiently reconstruct high-fidelity images from single-pixel measurements by exploiting the Kronecker structure of the single-pixel imaging model.


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efficient-deep-unfolding-network-with-hybrid-attention-transformer-for-large-scale-single-pixel-imaging


Efficient Deep Unfolding Network with Hybrid-Attention Transformer for Large-Scale Single-Pixel Imaging
