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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 101–125 of 876 papers

TitleStatusHype
Implicit Integration of Superpixel Segmentation into Fully Convolutional NetworksCode1
Frequency-Aware Self-Supervised Monocular Depth EstimationCode1
An intelligent modular real-time vision-based system for environment perceptionCode1
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth EstimationCode1
A benchmark with decomposed distribution shifts for 360 monocular depth estimationCode1
Boosting Light-Weight Depth Estimation Via Knowledge DistillationCode1
Advancing Self-supervised Monocular Depth Learning with Sparse LiDARCode1
Can Language Understand Depth?Code1
Digging Into Uncertainty-based Pseudo-label for Robust Stereo MatchingCode1
3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-LabelingCode1
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor ScenesCode1
DELTAS: Depth Estimation by Learning Triangulation And densification of Sparse pointsCode1
Depth Estimation from Monocular Images and Sparse radar using Deep Ordinal Regression NetworkCode1
A Practical Stereo Depth System for Smart GlassesCode1
BodySLAM: A Generalized Monocular Visual SLAM Framework for Surgical ApplicationsCode1
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost VolumeCode1
Holopix50k: A Large-Scale In-the-wild Stereo Image DatasetCode1
CoDEPS: Online Continual Learning for Depth Estimation and Panoptic SegmentationCode1
Adaptive confidence thresholding for monocular depth estimationCode1
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 Attention for Robust RGB TrackingCode1
Depthformer : Multiscale Vision Transformer For Monocular Depth Estimation With Local Global Information FusionCode1
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional NetworkCode1
Always Clear Depth: Robust Monocular Depth Estimation under Adverse WeatherCode1
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