total variation regularization

Fast Guaranteed Robust Local-Smooth Principal Component Separation AAAI 2026 Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions JMLR 2024 Variance estimation in graphs with the fused lasso JMLR 2024 Deep Random Projector: Accelerated Deep Image Prior CVPR 2023 Tensor Gaussian Process with Contraction for Multi-Channel Imaging Analysis ICML 2023 Adaptive Unfolding Total Variation Network for Low-Light Image Enhancement ICCV 2021 Distributed Machine Learning with Sparse Heterogeneous Data NeurIPS 2021 Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization ICML 2021 A Flexible Framework for Designing Trainable Priors with Adaptive Smoothing and Game Encoding NeurIPS 2020 Learning to solve TV regularised problems with unrolled algorithms NeurIPS 2020 Binarsity: a penalization for one-hot encoded features in linear supervised learning JMLR 2019 Modular Proximal Optimization for Multidimensional Total-Variation Regularization JMLR 2018 A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors CVPR 2017 Simultaneous Visual Data Completion and Denoising Based on Tensor Rank and Total Variation Minimization and Its Primal-Dual Splitting Algorithm CVPR 2017 L0TV: A New Method for Image Restoration in the Presence of Impulse Noise CVPR 2015 Learning Nonlinear Spectral Filters for Color Image Reconstruction ICCV 2015 Total Variation Regularization of Shape Signals CVPR 2015 Total Variation Blind Deconvolution: The Devil is in the Details CVPR 2014 Dense Variational Reconstruction of Non-rigid Surfaces from Monocular Video CVPR 2013 SGTD: Structure Gradient and Texture Decorrelating Regularization for Image Decomposition ICCV 2013 Total Variation Regularization for Functions with Values in a Manifold ICCV 2013 Compressive Sensing MRI with Wavelet Tree Sparsity NeurIPS 2012