Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction

27 December 2023

Papers citing "Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction"

6 / 6 papers shown

Title
Slicing the Gaussian Mixture Wasserstein Distance Moritz Piening Robert Beinert 31 0 0 11 Apr 2025
T-FAKE: Synthesizing Thermal Images for Facial Landmarking Philipp Flotho Moritz Piening Anna Kukleva Gabriele Steidl 18 0 0 27 Aug 2024
Stability of Data-Dependent Ridge-Regularization for Inverse Problems Sebastian Neumayer Fabian Altekrüger 21 1 0 18 Jun 2024
Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows Chao Du Tianbo Li Tianyu Pang Shuicheng Yan Min-Bin Lin DiffM BDL 38 12 0 03 May 2023
Posterior Sampling for Image Restoration using Explicit Patch Priors Roy Friedman Yair Weiss 28 5 0 20 Apr 2021
Invertible Neural Networks versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence A. Andrle N. Farchmin Paul Hagemann Sebastian Heidenreich V. Soltwisch Gabriele Steidl 50 15 0 05 Feb 2021