Table of Contents

• Explicit Diffusion of Gaussian Mixture Model Based Image PriorsMartin Zach, Thomas Pock, Erich Kobler, Antonin Chambolle. 3-15 [doi]
• Efficient Neural Generation of 4K Masks for Homogeneous Diffusion InpaintingKarl Schrader, Pascal Peter, Niklas Kämper, Joachim Weickert. 16-28 [doi]
• Theoretical Foundations for Pseudo-Inversion of Nonlinear OperatorsEyal Gofer, Guy Gilboa. 29-41 [doi]
• A Frame Decomposition of the Funk-Radon TransformMichael Quellmalz, Lukas Weissinger, Simon Hubmer, Paul D. Erchinger. 42-54 [doi]
• Prony-Based Super-Resolution Phase Retrieval of Sparse, Multidimensional SignalsRobert Beinert, Saghar Rezaei. 55-67 [doi]
• Limited Electrodes Models in Electrical Impedance Tomography ReconstructionFrancesco Colibazzi, Damiana Lazzaro, Serena Morigi, Andrea Samore. 68-80 [doi]
• On Trainable Multiplicative Noise Removal ModelsMahipal Jetta, Utkarsh Singh, Padmaja Yinukula. 81-93 [doi]
• Surface Reconstruction from Noisy Point Cloud Using Directional G-normGuangyu Cui, Ho Law, Sung Ha Kang. 94-106 [doi]
• Regularized Material Decomposition for K-edge Separation in Hyperspectral Computed TomographyFrancesca Bevilacqua, Yiqiu Dong, Jakob Sauer Jørgensen. 107-119 [doi]
• Quaternary Image Decomposition with Cross-Correlation-Based Multi-parameter SelectionLaura Girometti, Martin Huska, Alessandro Lanza, Serena Morigi. 120-133 [doi]
• EmNeF: Neural Fields for Embedded Variational Problems in ImagingDanielle Bednarski, Jan Lellmann. 137-148 [doi]
• GenHarris-ResNet: A Rotation Invariant Neural Network Based on Elementary Symmetric PolynomialsValentin Penaud-Polge, Santiago Velasco-Forero, Jesús Angulo. 149-161 [doi]
• Compressive Learning of Deep Regularization for DenoisingHui Shi, Yann Traonmilin, Jean-François Aujol. 162-174 [doi]
• Graph Laplacian and Neural Networks for Inverse Problems in Imaging: GraphLaNetDavide Bianchi, Marco Donatelli, Davide Evangelista, Wenbin Li, Elena Loli Piccolomini. 175-186 [doi]
• Learning Posterior Distributions in Underdetermined Inverse ProblemsChristina Runkel, Michael Möller 0001, Carola-Bibiane Schönlieb, Christian Etmann. 187-209 [doi]
• Proximal Residual Flows for Bayesian Inverse ProblemsJohannes Hertrich. 210-222 [doi]
• A Model is Worth Tens of Thousands of ExamplesThomas Dagès, Laurent D. Cohen, Alfred M. Bruckstein. 223-235 [doi]
• Resolution-Invariant Image Classification Based on Fourier Neural OperatorsSamira Kabri, Tim Roith, Daniel Tenbrinck, Martin Burger 0001. 236-249 [doi]
• Graph Laplacian for Semi-supervised LearningOr Streicher, Guy Gilboa. 250-262 [doi]
• A Geometrically Aware Auto-Encoder for Multi-texture SynthesisPierrick Chatillon, Yann Gousseau, Sidonie Lefebvre. 263-275 [doi]
• Fast Marching Energy CNNThéo Bertrand, Nicolas Makaroff, Laurent D. Cohen. 276-287 [doi]
• Deep Accurate Solver for the Geodesic ProblemSaar Huberman, Amit Bracha, Ron Kimmel. 288-300 [doi]
• Deep Image Prior Regularized by Coupled Total Variation for Image ColorizationGaetano Agazzotti, Fabien Pierre, Frédéric Sur. 301-313 [doi]
• Hybrid Training of Denoising Networks to Improve the Texture Acutance of Digital CamerasRaphaël Achddou, Yann Gousseau, Saïd Ladjal. 314-325 [doi]
• Latent-Space Disentanglement with Untrained Generator Networks for the Isolation of Different Motion Types in Video DataAbdullah Abdullah, Martin Holler, Karl Kunisch, Malena Sabate Landman. 326-338 [doi]
• Natural Numerical Networks on Directed Graphs in Satellite Image ClassificationKarol Mikula, Michal Kollár, Aneta A. Ozvat, Mária Sibíková, Lucia Cahojová. 339-351 [doi]
• Piece-wise Constant Image Segmentation with a Deep Image Prior ApproachAlessandro Benfenati, Ambra Catozzi, Giorgia Franchini, Federica Porta. 352-362 [doi]
• On the Inclusion of Topological Requirements in CNNs for Semantic Segmentation Applied to RadiotherapyZoé Lambert, Carole Le Guyader, Caroline Petitjean. 363-375 [doi]
• A Relaxed Proximal Gradient Descent Algorithm for Convergent Plug-and-Play with Proximal DenoiserSamuel Hurault, Antonin Chambolle, Arthur Leclaire, Nicolas Papadakis. 379-392 [doi]
• Off-the-Grid Charge Algorithm for Curve Reconstruction in Inverse ProblemsBastien Laville, Laure Blanc-Féraud, Gilles Aubert. 393-405 [doi]
• Convergence Guarantees of Overparametrized Wide Deep Inverse PriorNathan Buskulic, Yvain Quéau, Jalal Fadili. 406-417 [doi]
• On the Remarkable Efficiency of SMARTMax Kahl, Stefania Petra, Christoph Schnörr, Gabriele Steidl, Matthias Zisler. 418-430 [doi]
• Wasserstein Gradient Flows of the Discrepancy with Distance Kernel on the LineJohannes Hertrich, Robert Beinert, Manuel Gräf, Gabriele Steidl. 431-443 [doi]
• A Quasi-Newton Primal-Dual Algorithm with Line SearchShida Wang, Jalal Fadili, Peter Ochs. 444-456 [doi]
• Stochastic Gradient Descent for Linear Inverse Problems in Variable Exponent Lebesgue SpacesMarta Lazzaretti, Zeljko Kereta, Claudio Estatico, Luca Calatroni. 457-470 [doi]
• An Efficient Line Search for Sparse ReconstructionShima Shabani, Michael Breuß. 471-483 [doi]
• Learned Discretization Schemes for the Second-Order Total Generalized VariationLea Bogensperger, Antonin Chambolle, Alexander Effland, Thomas Pock. 484-497 [doi]
• Fluctuation-Based Deconvolution in Fluorescence Microscopy Using Plug-and-Play DenoisersVasiliki Stergiopoulou, Subhadip Mukherjee, Luca Calatroni, Laure Blanc-Féraud. 498-510 [doi]
• Segmenting MR Images Through Texture Extraction and Multiplicative Components OptimizationLaura Antonelli, Valentina de Simone, Marco Viola. 511-521 [doi]
• Geodesic Tracking of Retinal Vascular Trees with Optical and TV-Flow Enhancement in SE(2)Nick J. van de Berg, Shuhe Zhang, Bart M. N. Smets, Tos T. J. M. Berendschot, Remco Duits. 525-537 [doi]
• Geometric Adaptations of PDE-G-CNNsGijs Bellaard, Gautam Pai 0001, Javier Oliván Bescós, Remco Duits. 538-550 [doi]
• The Variational Approach to the Flow of Sobolev-Diffeomorphisms ModelMara Guastini, Marko Rajkovic, Martin Rumpf, Benedikt Wirth. 551-564 [doi]
• Image Comparison and Scaling via Nonlinear ElasticityJohn M. Ball, Christopher L. Horner. 565-574 [doi]
• Learning Differential Invariants of Planar CurvesRoy Velich, Ron Kimmel. 575-587 [doi]
• Diffusion-Shock InpaintingKristina Schaefer, Joachim Weickert. 588-600 [doi]
• Generalised Scale-Space Properties for Probabilistic Diffusion ModelsPascal Peter. 601-613 [doi]
• Gromov-Wasserstein Transfer OperatorsFlorian Beier. 614-626 [doi]
• Optimal Transport Between GMM for Multiscale Texture SynthesisJulie Delon, Agnès Desolneux, Laurent Facq, Arthur Leclaire. 627-638 [doi]
• Asymptotic Result for a Decoupled Nonlinear Elasticity-Based Multiscale Registration ModelNoémie Debroux, Carole Le Guyader. 639-651 [doi]
• Image Blending with OsmosisPaul Bungert, Pascal Peter, Joachim Weickert. 652-664 [doi]
• α-Pixels for Hierarchical Analysis of Digital ObjectsKouki Tosaka, Atsushi Imiya. 665-676 [doi]
• Hypergraph p-Laplacians, Scale Spaces, and Information Flow in NetworksAriane Fazeny, Daniel Tenbrinck, Martin Burger 0001. 677-690 [doi]
• On Photometric Stereo in the Presence of a Refractive InterfaceYvain Quéau, Robin Bruneau, Jean Mélou, Jean-Denis Durou, François Lauze. 691-703 [doi]
• Multi-view Normal Estimation - Application to Slanted Plane-SweepingLilian Calvet, Nicolas Maignan, Baptiste Brument, Jean Mélou, Silvia Tozza, Jean-Denis Durou, Yvain Quéau. 704-716 [doi]
• Partial Shape Similarity by Multi-metric Hamiltonian Spectra MatchingDavid Bensaïd, Amit Bracha, Ron Kimmel. 717-729 [doi]
• Modeling Large-Scale Joint Distributions and Inference by Randomized AssignmentBastian Boll, Jonathan Schwarz, Daniel Gonzalez-Alvarado, Dmitrij Sitenko, Stefania Petra, Christoph Schnörr. 730-742 [doi]
• Quantum State Assignment FlowsJonathan Schwarz, Bastian Boll, Daniel Gonzalez-Alvarado, Dmitrij Sitenko, Martin Gärttner, Peter Albers, Christoph Schnörr. 743-756 [doi]