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Found 4 papers, 2 papers with code
Latent Diffusion Prior Enhanced Deep Unfolding for Spectral Image Reconstruction
Snapshot compressive spectral imaging reconstruction aims to reconstruct three-dimensional spatial-spectral images from a single-shot two-dimensional compressed measurement.
Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging
In this work, we tackle this challenge by marrying prompt tuning with FL to snapshot compressive imaging for the first time and propose an federated hardware-prompt learning (FedHP) method.
Spectral Compressive Imaging Reconstruction Using Convolution and Contextual Transformer
Spectral compressive imaging (SCI) is able to encode the high-dimensional hyperspectral image to a 2D measurement, and then uses algorithms to reconstruct the spatio-spectral data-cube.
Adaptive Deep PnP Algorithm for Video Snapshot Compressive Imaging
Towards this end, in this work, we propose the online PnP algorithm which can adaptively update the network's parameters within the PnP iteration; this makes the denoising network more applicable to the desired data in the SCI reconstruction.
