The following pages link to M. Holler (Q477436):
Displaying 19 items.
- Regularization of linear inverse problems with total generalized variation (Q477437) (← links)
- A TGV-based framework for variational image decompression, zooming, and reconstruction. I: Analytics (Q2797762) (← links)
- A TGV-based framework for variational image decompression, zooming, and reconstruction. II: Numerics (Q2797763) (← links)
- A total variation-based JPEG decompression model (Q2912274) (← links)
- Artifact-Free Variational MPEG Decompression (Q3300301) (← links)
- Non-smooth Variational Regularization for Processing Manifold-Valued Data (Q3300533) (← links)
- A function space framework for structural total variation regularization with applications in inverse problems (Q4570992) (← links)
- Coupled regularization with multiple data discrepancies (Q4571022) (← links)
- Variational Decompression of Image Data From DjVu Encoded Files (Q4617004) (← links)
- Total Generalized Variation for Manifold-Valued Data (Q4689778) (← links)
- Regularization graphs—a unified framework for variational regularization of inverse problems (Q5043655) (← links)
- A Generative Variational Model for Inverse Problems in Imaging (Q5065477) (← links)
- Higher-order total variation approaches and generalisations (Q5139310) (← links)
- On Infimal Convolution of TV-Type Functionals and Applications to Video and Image Reconstruction (Q5174309) (← links)
- Learning-informed parameter identification in nonlinear time-dependent PDEs (Q6073849) (← links)
- A Note on the Regularity of Images Generated by Convolutional Neural Networks (Q6136232) (← links)
- Non-smooth variational regularization for processing manifold-valued data (Q6325617) (← links)
- Subgradient Langevin methods for sampling from nonsmooth potentials (Q6633041) (← links)
- Neural-network-based regularization methods for inverse problems in imaging (Q6664955) (← links)
