Depth Estimation
State-of-the-art leaderboards
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Greatest papers with code
Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics
We present an approach which takes advantage of both structure and semantics for unsupervised monocular learning of depth and ego-motion.
Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos
Models and examples built with TensorFlow
#5 best model for
Monocular Depth Estimation
on KITTI Eigen split
DEPTH AND CAMERA MOTION MONOCULAR DEPTH ESTIMATION MOTION ESTIMATION ROBOT NAVIGATION
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints
CVPR 2018
• tensorflow/models
• 
We present a novel approach for unsupervised learning of depth and ego-motion from monocular video.
Unsupervised Monocular Depth Estimation with Left-Right Consistency
CVPR 2017
• mrharicot/monodepth
•
Learning based methods have shown very promising results for the task of depth estimation in single images.
#7 best model for
Monocular Depth Estimation
on KITTI Eigen split
Unsupervised Learning of Depth and Ego-Motion from Video
CVPR 2017
• tinghuiz/SfMLearner
•
We present an unsupervised learning framework for the task of monocular depth and camera motion estimation from unstructured video sequences.
Deeper Depth Prediction with Fully Convolutional Residual Networks
• iro-cp/FCRN-DepthPrediction
•
This paper addresses the problem of estimating the depth map of a scene given a single RGB image.
On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach
Despite the progress on monocular depth estimation in recent years, we show that the gap between monocular and stereo depth accuracy remains large$-$a particularly relevant result due to the prevalent reliance upon monocular cameras by vehicles that are expected to be self-driving.
Pyramid Stereo Matching Network
CVPR 2018
• JiaRenChang/PSMNet
• 
The spatial pyramid pooling module takes advantage of the capacity of global context information by aggregating context in different scales and locations to form a cost volume.
Digging Into Self-Supervised Monocular Depth Estimation
Per-pixel ground-truth depth data is challenging to acquire at scale.
#4 best model for
Monocular Depth Estimation
on KITTI Eigen split
DEPTH AND CAMERA MOTION IMAGE RECONSTRUCTION MONOCULAR DEPTH ESTIMATION MOTION ESTIMATION SCENE UNDERSTANDING
Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric Annotations
• DrSleep/light-weight-refinenet
•
Deployment of deep learning models in robotics as sensory information extractors can be a daunting task to handle, even using generic GPU cards.
DEPTH ESTIMATION REAL-TIME SEMANTIC SEGMENTATION SURFACE NORMALS ESTIMATION