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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 176–200 of 876 papers

TitleStatusHype
Digging Into Uncertainty-based Pseudo-label for Robust Stereo MatchingCode1
Depth Attention for Robust RGB TrackingCode1
BodySLAM: A Generalized Monocular Visual SLAM Framework for Surgical ApplicationsCode1
Distilled Semantics for Comprehensive Scene Understanding from VideosCode1
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
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that MatterCode1
Boosting Light-Weight Depth Estimation Via Knowledge DistillationCode1
A geometry-aware deep network for depth estimation in monocular endoscopyCode1
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor ScenesCode1
DiPE: Deeper into Photometric Errors for Unsupervised Learning of Depth and Ego-motion from Monocular VideosCode1
EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth PredictionCode1
LightDepth: A Resource Efficient Depth Estimation Approach for Dealing with Ground Truth Sparsity via Curriculum LearningCode1
Depthformer : Multiscale Vision Transformer For Monocular Depth Estimation With Local Global Information FusionCode1
Metrically Scaled Monocular Depth Estimation through Sparse Priors for Underwater RobotsCode1
Gradient-based Uncertainty for Monocular Depth EstimationCode1
Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation ModelCode1
GroCo: Ground Constraint for Metric Self-Supervised Monocular DepthCode1
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
DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine DomainCode1
3DPPE: 3D Point Positional Encoding for Multi-Camera 3D Object Detection TransformersCode1
Aerial Single-View Depth Completion with Image-Guided Uncertainty EstimationCode1
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