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cs.CV2021
StyleGAN-induced data-driven regularization for inverse problems
Arthur Conmy, Subhadip Mukherjee, Carola-Bibiane Schönlieb
Recent advances in generative adversarial networks (GANs) have opened up the possibility of generating high-resolution photo-realistic images that were impossible to produce previo…
cs.CV2021★ 12 cited
End-to-end reconstruction meets data-driven regularization for inverse problems
Subhadip Mukherjee, Marcello Carioni, Ozan Öktem +1
We propose an unsupervised approach for learning end-to-end reconstruction operators for ill-posed inverse problems. The proposed method combines the classical variational framewor…