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Found 2 papers, 2 papers with code
Ensemble learning priors unfolding for scalable Snapshot Compressive Sensing
To address these problems, we develop the ensemble learning priors to further improve the reconstruction accuracy and propose the scalable learning to empower deep learning the scalability just like the traditional algorithm.
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.
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