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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 351–400 of 876 papers

TitleStatusHype
CoL3D: Collaborative Learning of Single-view Depth and Camera Intrinsics for Metric 3D Shape Recovery—0
MetaFE-DE: Learning Meta Feature Embedding for Depth Estimation from Monocular Endoscopic Images—0
Leveraging Stable Diffusion for Monocular Depth Estimation via Image Semantic Encoding—0
PromptMono: Cross Prompting Attention for Self-Supervised Monocular Depth Estimation in Challenging Environments—0
Enhancing Monocular Depth Estimation with Multi-Source Auxiliary TasksCode0
Survey on Monocular Metric Depth Estimation—0
RDG-GS: Relative Depth Guidance with Gaussian Splatting for Real-time Sparse-View 3D Rendering—0
StereoGen: High-quality Stereo Image Generation from a Single Image—0
A Critical Synthesis of Uncertainty Quantification and Foundation Models in Monocular Depth Estimation—0
Distilling Monocular Foundation Model for Fine-grained Depth Completion—0
Vision-Language Embodiment for Monocular Depth Estimation—0
Improved Monocular Depth Prediction Using Distance Transform Over Pre-semantic Contours with Self-supervised Neural Networks—0
GeoDepth: From Point-to-Depth to Plane-to-Depth Modeling for Self-Supervised Monocular Depth Estimation—0
MetricDepth: Enhancing Monocular Depth Estimation with Deep Metric Learning—0
Learning Monocular Depth from Events via Egomotion Compensation—0
Revisiting Monocular 3D Object Detection from Scene-Level Depth Retargeting to Instance-Level Spatial Refinement—0
Marigold-DC: Zero-Shot Monocular Depth Completion with Guided Diffusion—0
Foundation Models Meet Low-Cost Sensors: Test-Time Adaptation for Rescaling Disparity for Zero-Shot Metric Depth Estimation—0
V-MIND: Building Versatile Monocular Indoor 3D Detector with Diverse 2D Annotations—0
Balancing Shared and Task-Specific Representations: A Hybrid Approach to Depth-Aware Video Panoptic Segmentation—0
GVDepth: Zero-Shot Monocular Depth Estimation for Ground Vehicles based on Probabilistic Cue Fusion—0
LAA-Net: A Physical-prior-knowledge Based Network for Robust Nighttime Depth Estimation—0
Align3R: Aligned Monocular Depth Estimation for Dynamic Videos—0
STATIC : Surface Temporal Affine for TIme Consistency in Video Monocular Depth Estimation—0
FiffDepth: Feed-forward Transformation of Diffusion-Based Generators for Detailed Depth Estimation—0
MonoPP: Metric-Scaled Self-Supervised Monocular Depth Estimation by Planar-Parallax Geometry in Automotive Applications—0
Spatially Visual Perception for End-to-End Robotic Learning—0
PriorDiffusion: Leverage Language Prior in Diffusion Models for Monocular Depth Estimation—0
MGNiceNet: Unified Monocular Geometric Scene UnderstandingCode0
Scalable Autoregressive Monocular Depth Estimation—0
MetricGold: Leveraging Text-To-Image Latent Diffusion Models for Metric Depth EstimationCode0
Mono2Stereo: Monocular Knowledge Transfer for Enhanced Stereo Matching—0
D^3epth: Self-Supervised Depth Estimation with Dynamic Mask in Dynamic ScenesCode0
Enhancing Bronchoscopy Depth Estimation through Synthetic-to-Real Domain Adaptation—0
Improving Domain Generalization in Self-supervised Monocular Depth Estimation via Stabilized Adversarial Training—0
PMPNet: Pixel Movement Prediction Network for Monocular Depth Estimation in Dynamic Scenes—0
Optical Lens Attack on Monocular Depth Estimation for Autonomous Driving—0
Enhanced Encoder-Decoder Architecture for Accurate Monocular Depth EstimationCode0
Structure-Centric Robust Monocular Depth Estimation via Knowledge Distillation—0
Surgical Depth Anything: Depth Estimation for Surgical Scenes using Foundation Models—0
Vision Transformer based Random Walk for Group Re-Identification—0
EndoPerfect: High-Accuracy Monocular Depth Estimation and 3D Reconstruction for Endoscopic Surgery via NeRF-Stereo Fusion—0
RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language DescriptionsCode0
KineDepth: Utilizing Robot Kinematics for Online Metric Depth Estimation—0
fCOP: Focal Length Estimation from Category-level Object Priors—0
ViewpointDepth: A New Dataset for Monocular Depth Estimation Under Viewpoint Shifts—0
Self-supervised Monocular Depth Estimation with Large Kernel Attention—0
Optical Lens Attack on Deep Learning Based Monocular Depth Estimation—0
Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation—0
EventHDR: from Event to High-Speed HDR Videos and Beyond—0
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