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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 126–150 of 876 papers

TitleStatusHype
Two-in-One Depth: Bridging the Gap Between Monocular and Binocular Self-supervised Depth EstimationCode1
SQLdepth: Generalizable Self-Supervised Fine-Structured Monocular Depth EstimationCode1
Learning to Upsample by Learning to SampleCode1
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost VolumeCode1
Out-of-Distribution Detection for Monocular Depth EstimationCode1
Self-Supervised Monocular Depth Estimation by Direction-aware Cumulative Convolution NetworkCode1
Digging Into Uncertainty-based Pseudo-label for Robust Stereo MatchingCode1
Prompt Guided Transformer for Multi-Task Dense PredictionCode1
Learning Depth Estimation for Transparent and Mirror SurfacesCode1
LiDAR Meta Depth CompletionCode1
Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTVCode1
Self-supervised Monocular Depth Estimation: Let's Talk About The WeatherCode1
NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth EstimationCode1
Cross-modal transformers for infrared and visible image fusionCode1
Depth and DOF Cues Make A Better Defocus Blur DetectorCode1
A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehiclesCode1
DaRF: Boosting Radiance Fields from Sparse Inputs with Monocular Depth AdaptationCode1
Text2NeRF: Text-Driven 3D Scene Generation with Neural Radiance FieldsCode1
A geometry-aware deep network for depth estimation in monocular endoscopyCode1
altiro3D: Scene representation from single image and novel view synthesisCode1
ENRICH: Multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetryCode1
An intelligent modular real-time vision-based system for environment perceptionCode1
Monocular Visual-Inertial Depth EstimationCode1
CoDEPS: Online Continual Learning for Depth Estimation and Panoptic SegmentationCode1
Lifelong-MonoDepth: Lifelong Learning for Multi-Domain Monocular Metric Depth EstimationCode1
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