Image Restoration

Learning Parametric Sparse Models for Image Super-Resolution NeurIPS 2016 Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks CVPR 2016 Markov Latent Feature Models ICML 2016 Marr Revisited: 2D-3D Alignment via Surface Normal Prediction CVPR 2016 Minimizing the Maximal Rank CVPR 2016 Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization CVPR 2016 Needle-Match: Reliable Patch Matching Under High Uncertainty CVPR 2016 Non-Local Image Dehazing CVPR 2016 Occlusion-Free Face Alignment: Deep Regression Networks Coupled With De-Corrupt AutoEncoders CVPR 2016 Proximal Deep Structured Models NeurIPS 2016 PSyCo: Manifold Span Reduction for Super Resolution CVPR 2016 Rain Streak Removal Using Layer Priors CVPR 2016 RAW Image Reconstruction Using a Self-Contained sRGB-JPEG Image With Only 64 KB Overhead CVPR 2016 Real-Time Depth Refinement for Specular Objects CVPR 2016 ReconNet: Non-Iterative Reconstruction of Images From Compressively Sensed Measurements CVPR 2016 Removing Clouds and Recovering Ground Observations in Satellite Image Sequences via Temporally Contiguous Robust Matrix Completion CVPR 2016 Robust Kernel Estimation With Outliers Handling for Image Deblurring CVPR 2016 Robust Optical Flow Estimation of Double-Layer Images Under Transparency or Reflection CVPR 2016 Saliency Unified: A Deep Architecture for Simultaneous Eye Fixation Prediction and Salient Object Segmentation CVPR 2016 Semantic Filtering CVPR 2016 Seven Ways to Improve Example-Based Single Image Super Resolution CVPR 2016 Soft-Segmentation Guided Object Motion Deblurring CVPR 2016 Split LBI: An Iterative Regularization Path with Structural Sparsity NeurIPS 2016 Structured Receptive Fields in CNNs CVPR 2016 Studying Very Low Resolution Recognition Using Deep Networks CVPR 2016