SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 276–300 of 876 papers

TitleStatusHype
NDDepth: Normal-Distance Assisted Monocular Depth Estimation and CompletionCode1
MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable UncertaintyCode1
PolyMaX: General Dense Prediction with Mask Transformer—0
Analysis of NaN Divergence in Training Monocular Depth Estimation Model—0
Continual Learning of Unsupervised Monocular Depth from VideosCode0
Learning to Adapt CLIP for Few-Shot Monocular Depth Estimation—0
Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes—0
Learning depth from monocular video sequences—0
Metrically Scaled Monocular Depth Estimation through Sparse Priors for Underwater RobotsCode1
Towards Explainability in Monocular Depth Estimation—0
Mobile AR Depth Estimation: Challenges & Prospects -- Extended VersionCode1
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenesCode1
Federated Self-Supervised Learning of Monocular Depth Estimators for Autonomous Vehicles—0
MeSa: Masked, Geometric, and Supervised Pre-training for Monocular Depth Estimation—0
Text-image Alignment for Diffusion-based PerceptionCode1
GSDC Transformer: An Efficient and Effective Cue Fusion for Monocular Multi-Frame Depth Estimation—0
InfraParis: A multi-modal and multi-task autonomous driving datasetCode0
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor ScenesCode1
ADU-Depth: Attention-based Distillation with Uncertainty Modeling for Depth Estimation—0
IEBins: Iterative Elastic Bins for Monocular Depth EstimationCode1
InSpaceType: Reconsider Space Type in Indoor Monocular Depth EstimationCode1
SRFNet: Monocular Depth Estimation with Fine-grained Structure via Spatial Reliability-oriented Fusion of Frames and Events—0
NDDepth: Normal-Distance Assisted Monocular Depth EstimationCode1
Large-scale Monocular Depth Estimation in the Wild—0
Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering—0
Show:102550
← PrevPage 12 of 36Next →

No leaderboard results yet.