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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 101–150 of 876 papers

TitleStatusHype
Holopix50k: A Large-Scale In-the-wild Stereo Image DatasetCode1
HR-Depth: High Resolution Self-Supervised Monocular Depth EstimationCode1
An intelligent modular real-time vision-based system for environment perceptionCode1
Lifelong-MonoDepth: Lifelong Learning for Multi-Domain Monocular Metric Depth EstimationCode1
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor ScenesCode1
Image Masking for Robust Self-Supervised Monocular Depth EstimationCode1
Advancing Self-supervised Monocular Depth Learning with Sparse LiDARCode1
Can Language Understand Depth?Code1
Improving Deep Regression with Ordinal EntropyCode1
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth EstimationCode1
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth EstimationCode1
Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth EstimationCode1
Chitransformer: Towards Reliable Stereo From CuesCode1
A Practical Stereo Depth System for Smart GlassesCode1
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional NetworkCode1
Boosting Light-Weight Depth Estimation Via Knowledge DistillationCode1
3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-LabelingCode1
CoDEPS: Online Continual Learning for Depth Estimation and Panoptic SegmentationCode1
A Study on Self-Supervised Pretraining for Vision Problems in Gastrointestinal EndoscopyCode1
Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth PredictionCode1
A Study on the Generality of Neural Network Structures for Monocular Depth EstimationCode1
Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height EstimationCode1
Depth and DOF Cues Make A Better Defocus Blur DetectorCode1
Learning Occlusion-Aware Coarse-to-Fine Depth Map for Self-supervised Monocular Depth EstimationCode1
GEDepth: Ground Embedding for Monocular Depth EstimationCode1
RePoseD: Efficient Relative Pose Estimation With Known Depth InformationCode1
FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier ConvolutionsCode1
BodySLAM: A Generalized Monocular Visual SLAM Framework for Surgical ApplicationsCode1
Adaptive confidence thresholding for monocular depth estimationCode1
DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation LearningCode1
Frequency-Aware Self-Supervised Monocular Depth EstimationCode1
Always Clear Depth: Robust Monocular Depth Estimation under Adverse WeatherCode1
Feature-metric Loss for Self-supervised Learning of Depth and EgomotionCode1
BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth EstimationCode1
Bidirectional Attention Network for Monocular Depth EstimationCode1
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary CellsCode1
Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth EstimationCode1
Deep Two-View Structure-from-Motion RevisitedCode1
altiro3D: Scene representation from single image and novel view synthesisCode1
EVP: Enhanced Visual Perception using Inverse Multi-Attentive Feature Refinement and Regularized Image-Text AlignmentCode1
All in Tokens: Unifying Output Space of Visual Tasks via Soft TokenCode1
BaseBoostDepth: Exploiting Larger Baselines For Self-supervised Monocular Depth EstimationCode1
AdaBins: Depth Estimation using Adaptive BinsCode1
Excavating the Potential Capacity of Self-Supervised Monocular Depth EstimationCode1
Global and Hierarchical Geometry Consistency Priors for Few-shot NeRFs in Indoor ScenesCode1
EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth PredictionCode1
BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression TasksCode1
Dyna-DM: Dynamic Object-aware Self-supervised Monocular Depth MapsCode1
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenesCode1
EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised TrainingCode1
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