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Monocular Depth Estimation

Monocular Depth Estimation is the task of estimating the depth value (distance relative to the camera) of each pixel given a single (monocular) RGB image. This challenging task is a key prerequisite for determining scene understanding for applications such as 3D scene reconstruction, autonomous driving, and AR. State-of-the-art methods usually fall into one of two categories: designing a complex network that is powerful enough to directly regress the depth map, or splitting the input into bins or windows to reduce computational complexity. The most popular benchmarks are the KITTI and NYUv2 datasets. Models are typically evaluated using RMSE or absolute relative error.

Source: Defocus Deblurring Using Dual-Pixel Data

Papers

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Showing 751–800 of 876 papers

TitleStatusHype
Dense monocular Simultaneous Localization and Mapping by direct surfel optimization—0
FIS-Nets: Full-image Supervised Networks for Monocular Depth Estimation—0
Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey—0
Don't Forget The Past: Recurrent Depth Estimation from Monocular Video—0
Edge-Guided Occlusion Fading Reduction for a Light-Weighted Self-Supervised Monocular Depth EstimationCode0
Analysis of Deep Networks for Monocular Depth Estimation Through Adversarial Attacks with Proposal of a Defense Method—0
On the Benefit of Adversarial Training for Monocular Depth EstimationCode0
Deep Classification Network for Monocular Depth Estimation—0
Moving Indoor: Unsupervised Video Depth Learning in Challenging Environments—0
Unsupervised High-Resolution Depth Learning From Videos With Dual Networks—0
ClearGrasp: 3D Shape Estimation of Transparent Objects for ManipulationCode0
Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances—0
Deep 3D Pan via adaptive "t-shaped" convolutions with global and local adaptive dilations—0
Digging Into Self-Supervised Monocular Depth EstimationCode0
Monocular Piecewise Depth Estimation in Dynamic Scenes by Exploiting Superpixel Relations—0
Deep Depth From Aberration Map—0
Self-Supervised Monocular Depth HintsCode0
Task-Aware Monocular Depth Estimation for 3D Object DetectionCode0
Progressive Fusion for Unsupervised Binocular Depth Estimation using Cycled NetworksCode0
Structure-Attentioned Memory Network for Monocular Depth Estimation—0
Improving Self-Supervised Single View Depth Estimation by Masking OcclusionCode0
UASOL, a large-scale high-resolution outdoor stereo dataset—0
n-MeRCI: A new Metric to Evaluate the Correlation Between Predictive Uncertainty and True Error—0
Structured Coupled Generative Adversarial Networks for Unsupervised Monocular Depth Estimation—0
To complete or to estimate, that is the question: A Multi-Task Approach to Depth Completion and Monocular Depth Estimation—0
Index NetworkCode0
Exploiting temporal consistency for real-time video depth estimationCode0
Enhancing self-supervised monocular depth estimation with traditional visual odometry—0
Semi-Supervised Adversarial Monocular Depth Estimation—0
Adversarial View-Consistent Learning for Monocular Depth Estimation—0
Conf-Net: Toward High-Confidence Dense 3D Point-Cloud with Error-Map PredictionCode0
Learning Depth from Monocular Videos Using Synthetic Data: A Temporally-Consistent Domain Adaptation Approach—0
Structure-Aware Residual Pyramid Network for Monocular Depth EstimationCode0
Self-supervised Learning with Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera—0
SLAM Endoscopy enhanced by adversarial depth prediction—0
Generating and Exploiting Probabilistic Monocular Depth EstimatesCode0
Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics—0
Pattern-Affinitive Propagation across Depth, Surface Normal and Semantic Segmentation—0
Multimodal End-to-End Autonomous Driving—0
Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation—0
Monocular Depth Estimation Using Relative Depth Maps—0
Soft Labels for Ordinal Regression—0
Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding ApproachCode0
Connecting the Dots: Learning Representations for Active Monocular Depth Estimation—0
Recurrent Neural Network for (Un-)Supervised Learning of Monocular Video Visual Odometry and Depth—0
SharpNet: Fast and Accurate Recovery of Occluding Contours in Monocular Depth EstimationCode0
Semi-Supervised Monocular Depth Estimation with Left-Right Consistency Using Deep Neural NetworkCode0
How do neural networks see depth in single images?—0
PhaseCam3D — Learning Phase Masks for Passive Single View Depth EstimationCode0
Lightweight Monocular Depth Estimation Model by Joint End-to-End Filter pruningCode0
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