SOTAVerified

Depth Estimation

Depth Estimation is the task of measuring the distance of each pixel relative to the camera. Depth is extracted from either monocular (single) or stereo (multiple views of a scene) images. Traditional methods use multi-view geometry to find the relationship between the images. Newer methods can directly estimate depth by minimizing the regression loss, or by learning to generate a novel view from a sequence. The most popular benchmarks are KITTI and NYUv2. Models are typically evaluated according to a RMS metric.

Source: DIODE: A Dense Indoor and Outdoor DEpth Dataset

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2201–2250 of 2454 papers

TitleStatusHype
MFuseNet: Robust Depth Estimation with Learned Multiscopic Fusion—0
MGS-SLAM: Monocular Sparse Tracking and Gaussian Mapping with Depth Smooth Regularization—0
MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation—0
Exploring the Impacts from Datasets to Monocular Depth Estimation (MDE) Models with MineNavi—0
MINERVAS: Massive INterior EnviRonments VirtuAl Synthesis—0
Minimizing the Effect of Noise and Limited Dataset Size in Image Classification Using Depth Estimation as an Auxiliary Task with Deep Multitask Learning—0
MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation—0
Mitigating Perspective Distortion-induced Shape Ambiguity in Image Crops—0
Mobile3DRecon: Real-time Monocular 3D Reconstruction on a Mobile Phone—0
MobileDepth: Efficient Monocular Depth Prediction on Mobile Devices—0
Modality-Guided Subnetwork for Salient Object Detection—0
MoDGS: Dynamic Gaussian Splatting from Casually-captured Monocular Videos with Depth Priors—0
MoD-SLAM: Monocular Dense Mapping for Unbounded 3D Scene Reconstruction—0
MoGDE: Boosting Mobile Monocular 3D Object Detection with Ground Depth Estimation—0
Monitoring social distancing with single image depth estimation—0
Mono2Stereo: Monocular Knowledge Transfer for Enhanced Stereo Matching—0
MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow—0
MonoCoP: Chain-of-Prediction for Monocular 3D Object Detection—0
MonoCT: Overcoming Monocular 3D Detection Domain Shift with Consistent Teacher Models—0
Monocular 3D Human Pose Estimation by Predicting Depth on Joints—0
Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation—0
Monocular and Generalizable Gaussian Talking Head Animation—0
Monocular Depth Estimation: A Survey—0
Monocular Depth Estimation Based On Deep Learning: An Overview—0
Monocular Depth Estimation by Learning from Heterogeneous Datasets—0
Monocular Depth Estimation for Soft Visuotactile Sensors—0
Monocular Depth Estimation Primed by Salient Point Detection and Normalized Hessian Loss—0
Monocular Depth Estimation using Diffusion Models—0
Monocular Depth Estimation Using Multi Scale Neural Network And Feature Fusion—0
Monocular Depth Estimation Using Neural Regression Forest—0
Monocular Depth Estimation Using Relative Depth Maps—0
Monocular Depth Estimation Using Whole Strip Masking and Reliability-Based Refinement—0
Monocular Depth Estimation with Affinity, Vertical Pooling, and Label Enhancement—0
Monocular Depth Estimation with Augmented Ordinal Depth Relationships—0
Monocular Depth Estimation with Directional Consistency by Deep Networks—0
Monocular Depth Estimation with Self-supervised Instance Adaptation—0
Monocular Depth Estimation with Sharp Boundary—0
Monocular Depth Estimators: Vulnerabilities and Attacks—0
Monocular Differentiable Rendering for Self-Supervised 3D Object Detection—0
Monocular Fisheye Camera Depth Estimation Using Sparse LiDAR Supervision—0
Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping—0
Monocular Piecewise Depth Estimation in Dynamic Scenes by Exploiting Superpixel Relations—0
Monocular Relative Depth Perception With Web Stereo Data Supervision—0
Monocular Retinal Depth Estimation and Joint Optic Disc and Cup Segmentation using Adversarial Networks—0
Monocular Spherical Depth Estimation with Explicitly Connected Weak Layout Cues—0
MonoDETRNext: Next-Generation Accurate and Efficient Monocular 3D Object Detector—0
MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-aware Video Panoptic Segmentation—0
MonoGRNet: A General Framework for Monocular 3D Object Detection—0
MonoIndoor++:Towards Better Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments—0
MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments—0
Show:102550
← PrevPage 45 of 50Next →
All datasetsStanford2D3D PanoramicNYU-Depth V2DCMeBDthequeScanNetV2Cityscapes testDIODEKITTI 2015Mars DTM EstimationScanNet4D Light Field DatasetKITTI Eigen split

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OmniDepthRMSE0.62—Unverified
2SphereDepthRMSE0.45—Unverified
3Jin et al.RMSE0.42—Unverified
4BiFuse with fusionRMSE0.41—Unverified
5HoHoNet (ResNet-101)RMSE0.38—Unverified
6PanoDepthRMSE0.37—Unverified
7BiFuse++RMSE0.37—Unverified
8UniFuse with fusionRMSE0.37—Unverified
9DisConvRMSE0.37—Unverified
10SliceNetRMSE0.37—Unverified
#ModelMetricClaimedVerifiedStatus
1A2JmAP8.61—Unverified
2PAD-NetRMS0.79—Unverified
3MS-CRFRMS0.59—Unverified
4DORNRMS0.51—Unverified
5FreeformRMS0.43—Unverified
6Optimized, freeformRMS0.43—Unverified
7VNLRMS0.42—Unverified
8BTSRMS0.41—Unverified
9TransDepth (AGD+ ViT)RMS0.37—Unverified
10AdaBinsRMS0.36—Unverified
#ModelMetricClaimedVerifiedStatus
1T2NetAbs Rel0.35—Unverified
2MIDASAbs Rel0.31—Unverified
3Bhattacharjee et al.Abs Rel0.25—Unverified
#ModelMetricClaimedVerifiedStatus
1T2NetAbs Rel0.49—Unverified
2MIDASAbs Rel0.42—Unverified
3Bhattacharjee et al.Abs Rel0.38—Unverified
#ModelMetricClaimedVerifiedStatus
1LeReSabsolute relative error0.1—Unverified
2DELTASabsolute relative error0.09—Unverified
3Distill Any Depthabsolute relative error0.04—Unverified
#ModelMetricClaimedVerifiedStatus
1SDC-DepthRMSE6.92—Unverified
2SwinMTLRMSE6.35—Unverified
#ModelMetricClaimedVerifiedStatus
1AIP-BrownDelta < 1.250.36—Unverified
2LeResDelta < 1.250.23—Unverified
#ModelMetricClaimedVerifiedStatus
1H-Net (Ours)Absolute relative error (AbsRel)0.09—Unverified
2H-Net (Ours) Full EigenAbsolute relative error (AbsRel)0.08—Unverified
#ModelMetricClaimedVerifiedStatus
1GLPDepthDelta < 1.250.43—Unverified
2SRDINET (Model A)Delta < 1.250.4—Unverified
#ModelMetricClaimedVerifiedStatus
1Atlas (finetuned)RMSE0.17—Unverified
2Atlas (plain)RMSE0.17—Unverified
#ModelMetricClaimedVerifiedStatus
1LFattNetBadPix(0.01)17.23—Unverified
#ModelMetricClaimedVerifiedStatus
1LightDepthNumber of parameters (M)42.6—Unverified
#ModelMetricClaimedVerifiedStatus
1UniFuseAbs Rel0.11—Unverified
#ModelMetricClaimedVerifiedStatus
1X-TC (Cross-Task Consistency)L1 error1.63—Unverified