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 2001–2050 of 2454 papers

TitleStatusHype
Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation—0
Pseudo RGB-D for Self-Improving Monocular SLAM and Depth PredictionCode0
Robust 3D reconstruction of dynamic scenes from single-photon lidar using Beta-divergences—0
On the Synergies between Machine Learning and Binocular Stereo for Depth Estimation from Images: a Survey—0
DepthNet Nano: A Highly Compact Self-Normalizing Neural Network for Monocular Depth Estimation—0
RealMonoDepth: Self-Supervised Monocular Depth Estimation for General Scenes—0
Monocular Depth Estimation with Self-supervised Instance Adaptation—0
Novel View Synthesis of Dynamic Scenes with Globally Coherent Depths from a Monocular Camera—0
Du^2Net: Learning Depth Estimation from Dual-Cameras and Dual-Pixels—0
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey—0
High-Accuracy Facial Depth Models derived from 3D Synthetic Data—0
Adversarial Attacks on Monocular Depth Estimation—0
OmniSLAM: Omnidirectional Localization and Dense Mapping for Wide-baseline Multi-camera Systems—0
Active Depth Estimation: Stability Analysis and its Applications—0
Fast Depth Estimation for View SynthesisCode0
Monocular Depth Estimation Based On Deep Learning: An Overview—0
Uncertainty depth estimation with gated images for 3D reconstruction—0
Confidence Guided Stereo 3D Object Detection with Split Depth Estimation—0
Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds—0
Scalable Uncertainty for Computer Vision with Functional Variational Inference—0
Harnessing Multi-View Perspective of Light Fields for Low-Light ImagingCode0
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry—0
Learning Depth With Very Sparse Supervision—0
Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation—0
Dense monocular Simultaneous Localization and Mapping by direct surfel optimization—0
Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation—0
Detecting Deficient Coverage in Colonoscopies—0
Towards Augmented Reality-based Suturing in Monocular Laparoscopic Training—0
FIS-Nets: Full-image Supervised Networks for Monocular Depth Estimation—0
Indoor Layout Estimation by 2D LiDAR and Camera Fusion—0
Perception and Navigation in Autonomous Systems in the Era of Learning: A Survey—0
Don't Forget The Past: Recurrent Depth Estimation from Monocular Video—0
Video Depth Estimation by Fusing Flow-to-Depth ProposalsCode0
Planar Prior Assisted PatchMatch Multi-View StereoCode0
DepthTransfer: Depth Extraction from Video Using Non-parametric Sampling—0
Depth Extraction from Video Using Non-parametric Sampling—0
5D Light Field Synthesis from a Monocular Video—0
Self-supervised Object Motion and Depth Estimation from Video—0
Self-Supervised 3D Keypoint Learning for Ego-motion EstimationCode0
Pyramid Multi-view Stereo Net with Self-adaptive View AggregationCode0
Joint Graph-based Depth Refinement and Normal Estimation—0
FusionMapping: Learning Depth Prediction with Monocular Images and 2D Laser Scans—0
Edge-Guided Occlusion Fading Reduction for a Light-Weighted Self-Supervised Monocular Depth EstimationCode0
Normal Assisted Stereo Depth EstimationCode0
Joint Spatial and Angular Super-Resolution from a Single Image—0
SelfVIO: Self-Supervised Deep Monocular Visual-Inertial Odometry and Depth Estimation—0
LCD: Learned Cross-Domain Descriptors for 2D-3D MatchingCode0
Consensus-based Optimization for 3D Human Pose Estimation in Camera CoordinatesCode0
Analysis of Deep Networks for Monocular Depth Estimation Through Adversarial Attacks with Proposal of a Defense Method—0
Unsupervised Monocular Depth Prediction for Indoor Continuous Video Streams—0
Show:102550
← PrevPage 41 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