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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 151–200 of 876 papers

TitleStatusHype
Multi-Loss Weighting with Coefficient of VariationsCode1
LocalBins: Improving Depth Estimation by Learning Local DistributionsCode1
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenesCode1
Dyna-DM: Dynamic Object-aware Self-supervised Monocular Depth MapsCode1
LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile DevicesCode1
M4Depth: Monocular depth estimation for autonomous vehicles in unseen environmentsCode1
LightDepth: A Resource Efficient Depth Estimation Approach for Dealing with Ground Truth Sparsity via Curriculum LearningCode1
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression TasksCode1
LightedDepth: Video Depth Estimation in Light of Limited Inference View AnglesCode1
BaseBoostDepth: Exploiting Larger Baselines For Self-supervised Monocular Depth EstimationCode1
Deep Two-View Structure-from-Motion RevisitedCode1
DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation LearningCode1
altiro3D: Scene representation from single image and novel view synthesisCode1
ENRICH: Multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetryCode1
EVP: Enhanced Visual Perception using Inverse Multi-Attentive Feature Refinement and Regularized Image-Text AlignmentCode1
Feature-metric Loss for Self-supervised Learning of Depth and EgomotionCode1
Bidirectional Attention Network for Monocular Depth EstimationCode1
Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth EstimationCode1
Depth and DOF Cues Make A Better Defocus Blur DetectorCode1
Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height EstimationCode1
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost VolumeCode1
Lightweight Monocular Depth Estimation through Guided DecodingCode1
Deeper into Self-Supervised Monocular Indoor Depth EstimationCode1
Always Clear Depth: Robust Monocular Depth Estimation under Adverse WeatherCode1
Deeper Depth Prediction with Fully Convolutional Residual NetworksCode1
LiDAR Meta Depth CompletionCode1
Depth Attention for Robust RGB TrackingCode1
BodySLAM: A Generalized Monocular Visual SLAM Framework for Surgical ApplicationsCode1
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular DepthCode1
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth EstimationCode1
FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier ConvolutionsCode1
DELTAS: Depth Estimation by Learning Triangulation And densification of Sparse pointsCode1
Automated Distance Estimation for Wildlife Camera TrappingCode1
Boosting Light-Weight Depth Estimation Via Knowledge DistillationCode1
Lifelong-MonoDepth: Lifelong Learning for Multi-Domain Monocular Metric Depth EstimationCode1
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor ScenesCode1
Digging Into Uncertainty-based Pseudo-label for Robust Stereo MatchingCode1
Distilled Semantics for Comprehensive Scene Understanding from VideosCode1
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that MatterCode1
Depthformer : Multiscale Vision Transformer For Monocular Depth Estimation With Local Global Information FusionCode1
A geometry-aware deep network for depth estimation in monocular endoscopyCode1
DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular VideosCode1
Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation ModelCode1
Gradient-based Uncertainty for Monocular Depth EstimationCode1
DepthLab: Real-Time 3D Interaction With Depth Maps for Mobile Augmented RealityCode1
Depth Map Decomposition for Monocular Depth EstimationCode1
Depth Map Prediction from a Single Image using a Multi-Scale Deep NetworkCode1
EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth PredictionCode1
DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine DomainCode1
Aerial Single-View Depth Completion with Image-Guided Uncertainty EstimationCode1
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