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Monocular-Depth-Estimation-Papers

A collection of monocular depth estimation papers.

Outline

1. Methods

1.1 Supervised

Name Paper Source Code/Project
High Quality Monocular Depth Estimation via Transfer Learning arXiv 2018 [Code]
SVS Single View Stereo Matching CVPR 2018 [Code]
DORN Deep Ordinal Regression Network for Monocular Depth Estimation CVPR 2018 [Caffe] [PyTorch]
CCRF-CNN Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation CVPR 2017 [Code]
CNN-SLAM CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction CVPR 2017 [Code]
A Two-Streamed Network for Estimating Fine-Scaled Depth Maps from Single RGB Images ICCV 2017
Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks 3DV 2016
FCRN Deeper Depth Prediction with Fully Convolutional Residual Networks 3DV 2016 [Code]
Deep3D Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks ECCV 2016 [Code]
Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture ICCV 2015 [Project]
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network NIPS 2014 [Code]

1.2 Unsupervised

Name Paper Source Code/Project
Monodepth2 Digging into Self-Supervised Monocular Depth Prediction ICCV 2019 [Code]
Learning Monocular Depth by Distilling Cross-domain Stereo Networks ECCV 2018 [Code]
SemoDepth Semi-Supervised Deep Learning for Monocular Depth Map Prediction CVPR 2017 [Code]
Monodepth Unsupervised Monocular Depth Estimation with Left-Right Consistency CVPR 2017 [Project] [Code]
Unsupervised CNN for Single View Depth Estimation: Geometry to the Rescue ECCV 2016 [Code]

1.3 Video based

Name Paper Source Code/Project
Struct2depth Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos AAAI 2019 [Project] [Code]
Vid2depth Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints CVPR 2018 [Project] [Code]
Depth-VO-Feat Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction CVPR 2018 [Code]
GeoNet GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose CVPR 2018 [Code]
SfMLearner Unsupervised Learning of Depth and Ego-Motion from Video CVPR 2017 [Code]

2. Datasets

3. SOTA

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