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depth estimation

1540 papers

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Also known as

RGB-D MDE DFF DFD MMDE DEPTH DE

Co-occurring keywords

3d reconstruction (2253) stereo matching (247) semantic segmentation (3179) self-supervised learning (3751) convolutional neural network (4216) multi-view stereo (178) monocular depth (117) 3d vision (1098) scene understanding (825) novel view synthesis (788)

Papers

ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes CVPR 2017
CATS: A Color and Thermal Stereo Benchmark CVPR 2017
A Wide-Field-Of-View Monocentric Light Field Camera CVPR 2017
The Misty Three Point Algorithm for Relative Pose CVPR 2017
Depth From Defocus in the Wild CVPR 2017
HyperDepth: Learning Depth From Structured Light Without Matching CVPR 2016
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches JMLR 2016
Multiview Image Completion With Space Structure Propagation CVPR 2016
What Sparse Light Field Coding Reveals About Scene Structure CVPR 2016
Macroscopic Interferometry: Rethinking Depth Estimation With Frequency-Domain Time-Of-Flight CVPR 2016
NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis CVPR 2016
Efficient Deep Learning for Stereo Matching CVPR 2016
DeepStereo: Learning to Predict New Views From the World's Imagery CVPR 2016
Just Look at the Image: Viewpoint-Specific Surface Normal Prediction for Improved Multi-View Reconstruction CVPR 2016
Convolutional Networks for Shape From Light Field CVPR 2016
SURGE: Surface Regularized Geometry Estimation from a Single Image NIPS 2016
Heterogeneous Light Fields CVPR 2016
Monocular Depth Estimation Using Neural Regression Forest CVPR 2016
Efficient 3D Room Shape Recovery From a Single Panorama CVPR 2016
Egocentric Future Localization CVPR 2016
Recovering Transparent Shape From Time-Of-Flight Distortion CVPR 2016
Virtual Worlds as Proxy for Multi-Object Tracking Analysis CVPR 2016
Stereo Matching With Color and Monochrome Cameras in Low-Light Conditions CVPR 2016
Learning With Side Information Through Modality Hallucination CVPR 2016
Understanding Real World Indoor Scenes With Synthetic Data CVPR 2016