SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 276–300 of 876 papers

TitleStatusHype
Structure-Guided Ranking Loss for Single Image Depth PredictionCode1
On the uncertainty of self-supervised monocular depth estimationCode1
Toward Hierarchical Self-Supervised Monocular Absolute Depth Estimation for Autonomous Driving ApplicationsCode1
Self-Supervised Monocular Scene Flow EstimationCode1
Guiding Monocular Depth Estimation Using Depth-Attention VolumeCode1
Towards Better Generalization: Joint Depth-Pose Learning without PoseNetCode1
The Edge of Depth: Explicit Constraints between Segmentation and DepthCode1
Distilled Semantics for Comprehensive Scene Understanding from VideosCode1
Self-supervised Monocular Trained Depth Estimation using Self-attention and Discrete Disparity VolumeCode1
DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation LearningCode1
Holopix50k: A Large-Scale In-the-wild Stereo Image DatasetCode1
DELTAS: Depth Estimation by Learning Triangulation And densification of Sparse pointsCode1
DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular VideosCode1
Unsupervised Learning of Depth, Optical Flow and Pose with Occlusion from 3D GeometryCode1
Predicting Sharp and Accurate Occlusion Boundaries in Monocular Depth Estimation Using Displacement FieldsCode1
Aerial Single-View Depth Completion with Image-Guided Uncertainty EstimationCode1
Single Image Depth Estimation Trained via Depth from Defocus CuesCode1
Instance-wise Depth and Motion Learning from Monocular VideosCode1
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular VideoCode1
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth EstimationCode1
3D Packing for Self-Supervised Monocular Depth EstimationCode1
High Quality Monocular Depth Estimation via Transfer LearningCode1
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary CellsCode1
Towards real-time unsupervised monocular depth estimation on CPUCode1
Deep Ordinal Regression Network for Monocular Depth EstimationCode1
Show:102550
← PrevPage 12 of 36Next →

No leaderboard results yet.