DeepAdverserialRegulariser
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Software:1352921
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Source code repository: https://github.com/lunz-s/DeepAdverserialRegulariser
Related Items (17)
Deep learning for inverse problems. Abstracts from the workshop held March 7--13, 2021 (hybrid meeting) ⋮ Feasibility-based fixed point networks ⋮ A Generative Variational Model for Inverse Problems in Imaging ⋮ Wasserstein-Based Projections with Applications to Inverse Problems ⋮ Bayesian Imaging with Data-Driven Priors Encoded by Neural Networks ⋮ Computed tomography reconstruction using deep image prior and learned reconstruction methods ⋮ Classification of stroke using neural networks in electrical impedance tomography ⋮ Data driven regularization by projection ⋮ Deep synthesis network for regularizing inverse problems ⋮ A convex variational model for learning convolutional image atoms from incomplete data ⋮ Solving inverse problems using data-driven models ⋮ A hybrid partitioned deep learning methodology for moving interface and fluid-structure interaction ⋮ Equivariant neural networks for inverse problems ⋮ On Learned Operator Correction in Inverse Problems ⋮ Deep Neural Networks for Inverse Problems with Pseudodifferential Operators: An Application to Limited-Angle Tomography ⋮ Shared Prior Learning of Energy-Based Models for Image Reconstruction ⋮ Deep learning architectures for nonlinear operator functions and nonlinear inverse problems
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