image reconstruction

Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution NeurIPS 2018 Lose the Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion CVPR 2018 Neural Proximal Gradient Descent for Compressive Imaging NeurIPS 2018 Phase Retrieval Under a Generative Prior NeurIPS 2018 Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling CVPR 2018 Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis NeurIPS 2018 Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform CVPR 2018 Sparse, Smart Contours to Represent and Edit Images CVPR 2018 Statistical Tomography of Microscopic Life CVPR 2018 Unsupervised Training for 3D Morphable Model Regression CVPR 2018 What Do Deep Networks Like to See? CVPR 2018 “Zero-Shot” Super-Resolution Using Deep Internal Learning CVPR 2018 Comparative Evaluation of Hand-Crafted and Learned Local Features CVPR 2017 Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution CVPR 2017 Learned D-AMP: Principled Neural Network based Compressive Image Recovery NeurIPS 2017 MarrNet: 3D Shape Reconstruction via 2.5D Sketches NeurIPS 2017 Reconstructing Transient Images From Single-Photon Sensors CVPR 2017 Scalable Variational Inference for Super Resolution Microscopy AISTATS 2017 Simultaneous Visual Data Completion and Denoising Based on Tensor Rank and Total Variation Minimization and Its Primal-Dual Splitting Algorithm CVPR 2017 Snapshot Hyperspectral Light Field Imaging CVPR 2017 Unsupervised Monocular Depth Estimation With Left-Right Consistency CVPR 2017 Unsupervised Transformation Learning via Convex Relaxations NeurIPS 2017 What Is the Space of Attenuation Coefficients in Underwater Computer Vision? CVPR 2017 An Architecture for Deep, Hierarchical Generative Models NeurIPS 2016 A Powerful Generative Model Using Random Weights for the Deep Image Representation NeurIPS 2016