Depth Estimation

Learning Dynamic Guidance for Depth Image Enhancement CVPR 2017 Learning to Predict Stereo Reliability Enforcing Local Consistency of Confidence Maps CVPR 2017 Light Field Blind Motion Deblurring CVPR 2017 Light Field Reconstruction Using Deep Convolutional Network on EPI CVPR 2017 Material Classification Using Frequency- and Depth-Dependent Time-Of-Flight Distortion CVPR 2017 Matting and Depth Recovery of Thin Structures Using a Focal Stack CVPR 2017 Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation CVPR 2017 Polarimetric Multi-View Stereo CVPR 2017 Reconstructing Transient Images From Single-Photon Sensors CVPR 2017 Semi-Supervised Deep Learning for Monocular Depth Map Prediction CVPR 2017 SGM-Nets: Semi-Global Matching With Neural Networks CVPR 2017 Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data CVPR 2017 Stereo-Based 3D Reconstruction of Dynamic Fluid Surfaces by Global Optimization CVPR 2017 The Misty Three Point Algorithm for Relative Pose CVPR 2017 UltraStereo: Efficient Learning-Based Matching for Active Stereo Systems CVPR 2017 Unsupervised Learning of Depth and Ego-Motion From Video CVPR 2017 Unsupervised Monocular Depth Estimation With Left-Right Consistency CVPR 2017 3D Reconstruction of Transparent Objects With Position-Normal Consistency CVPR 2016 Convolutional Networks for Shape From Light Field CVPR 2016 Coordinating Multiple Disparity Proposals for Stereo Computation CVPR 2016 Dense Monocular Depth Estimation in Complex Dynamic Scenes CVPR 2016 Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions NeurIPS 2016 Depth From Semi-Calibrated Stereo and Defocus CVPR 2016 Efficient Deep Learning for Stereo Matching CVPR 2016 Egocentric Future Localization CVPR 2016