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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 51–100 of 876 papers

TitleStatusHype
Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous DrivingCode2
BinsFormer: Revisiting Adaptive Bins for Monocular Depth EstimationCode2
OSMLoc: Single Image-Based Visual Localization in OpenStreetMap with Fused Geometric and Semantic GuidanceCode2
Plane2Depth: Hierarchical Adaptive Plane Guidance for Monocular Depth EstimationCode2
Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth EstimationCode2
DurLAR: A High-fidelity 128-channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-modal Autonomous Driving ApplicationsCode2
Mono-ViFI: A Unified Learning Framework for Self-supervised Single- and Multi-frame Monocular Depth EstimationCode2
Depth-Regularized Optimization for 3D Gaussian Splatting in Few-Shot ImagesCode2
PrimeDepth: Efficient Monocular Depth Estimation with a Stable Diffusion PreimageCode2
Joint 2D-3D Multi-Task Learning on Cityscapes-3D: 3D Detection, Segmentation, and Depth EstimationCode2
IDOL: Unified Dual-Modal Latent Diffusion for Human-Centric Joint Video-Depth GenerationCode2
Kick Back & Relax++: Scaling Beyond Ground-Truth Depth with SlowTV & CribsTVCode2
HybridDepth: Robust Metric Depth Fusion by Leveraging Depth from Focus and Single-Image PriorsCode2
DiffusionDepth: Diffusion Denoising Approach for Monocular Depth EstimationCode2
Enforcing geometric constraints of virtual normal for depth predictionCode2
Learning to Recover 3D Scene Shape from a Single ImageCode2
Diffusion Models for Monocular Depth Estimation: Overcoming Challenging ConditionsCode2
Refinement of Monocular Depth Maps via Multi-View Differentiable RenderingCode2
ImOV3D: Learning Open-Vocabulary Point Clouds 3D Object Detection from Only 2D ImagesCode2
Feature-metric Loss for Self-supervised Learning of Depth and EgomotionCode1
A Study on the Generality of Neural Network Structures for Monocular Depth EstimationCode1
A Study on Self-Supervised Pretraining for Vision Problems in Gastrointestinal EndoscopyCode1
Absolute distance prediction based on deep learning object detection and monocular depth estimation modelsCode1
Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth EstimationCode1
DEPTHOR: Depth Enhancement from a Practical Light-Weight dToF Sensor and RGB ImageCode1
A Practical Stereo Depth System for Smart GlassesCode1
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary CellsCode1
DepthLab: Real-Time 3D Interaction With Depth Maps for Mobile Augmented RealityCode1
Advancing Self-supervised Monocular Depth Learning with Sparse LiDARCode1
ENRICH: Multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetryCode1
A benchmark with decomposed distribution shifts for 360 monocular depth estimationCode1
An intelligent modular real-time vision-based system for environment perceptionCode1
Depth Map Decomposition for Monocular Depth EstimationCode1
EVP: Enhanced Visual Perception using Inverse Multi-Attentive Feature Refinement and Regularized Image-Text AlignmentCode1
Depthformer : Multiscale Vision Transformer For Monocular Depth Estimation With Local Global Information FusionCode1
Depth Map Prediction from a Single Image using a Multi-Scale Deep NetworkCode1
DELTAS: Depth Estimation by Learning Triangulation And densification of Sparse pointsCode1
Depth Attention for Robust RGB TrackingCode1
Depth Estimation from Monocular Images and Sparse radar using Deep Ordinal Regression NetworkCode1
Detaching and Boosting: Dual Engine for Scale-Invariant Self-Supervised Monocular Depth EstimationCode1
Excavating the Potential Capacity of Self-Supervised Monocular Depth EstimationCode1
RePoseD: Efficient Relative Pose Estimation With Known Depth InformationCode1
Deep Two-View Structure-from-Motion RevisitedCode1
DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation LearningCode1
Depth and DOF Cues Make A Better Defocus Blur DetectorCode1
Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation ModelCode1
360MonoDepth: High-Resolution 360° Monocular Depth EstimationCode1
Boosting Light-Weight Depth Estimation Via Knowledge DistillationCode1
3DPPE: 3D Point Positional Encoding for Multi-Camera 3D Object Detection TransformersCode1
3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-LabelingCode1
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