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Found 4 papers, 2 papers with code
Deep learning-based deconvolution for interferometric radio transient reconstruction
Finally, based on the test data, we evaluate the source profile reconstruction performance of the proposed methods and classical image deconvolution algorithm CLEAN applied frame-by-frame.
Stable Long-Term Recurrent Video Super-Resolution
Finally, we introduce a new framework of recurrent VSR networks that is both stable and competitive, based on Lipschitz stability theory.
Deep Unrolled Network for Video Super-Resolution
Yet, they fail to incorporate some knowledge about the image formation model, which limits their flexibility.
Unsupervised feature-learning for galaxy SEDs with denoising autoencoders
In addition, preliminary results illustrate that this enables the capturing of extra physically meaningful information, such as redshift dependence, galaxy mass evolution and variation over the specific star formation rate.
Instrumentation and Methods for Astrophysics Astrophysics of Galaxies
