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

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Showing 851–900 of 2454 papers

TitleStatusHype
Learning to Upsample by Learning to SampleCode1
Semi-Supervised Semantic Depth Estimation using Symbiotic Transformer and NearFarMix Augmentation—0
R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras—0
Calibrating Panoramic Depth Estimation for Practical Localization and MappingCode1
Depth self-supervision for single image novel view synthesisCode0
Panoptic-Depth Color Map for Combination of Depth and Image Segmentation—0
WS-SfMLearner: Self-supervised Monocular Depth and Ego-motion Estimation on Surgical Videos with Unknown Camera Parameters—0
SAMSNeRF: Segment Anything Model (SAM) Guides Dynamic Surgical Scene Reconstruction by Neural Radiance Field (NeRF)—0
LightDepth: Single-View Depth Self-Supervision from Illumination Decline—0
Real-time Monocular Depth Estimation on Embedded Systems—0
A step towards understanding why classification helps regressionCode0
AltNeRF: Learning Robust Neural Radiance Field via Alternating Depth-Pose Optimization—0
Robust Monocular Depth Estimation under Challenging Conditions—0
MV-ROPE: Multi-view Constraints for Robust Category-level Object Pose and Size Estimation—0
ARAI-MVSNet: A multi-view stereo depth estimation network with adaptive depth range and depth intervalCode1
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on RegressionCode0
Improving Depth Gradient Continuity in Transformers: A Comparative Study on Monocular Depth Estimation with CNN—0
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost VolumeCode1
DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion ModelsCode2
Out-of-Distribution Detection for Monocular Depth EstimationCode1
Physical Adversarial Attacks For Camera-based Smart Systems: Current Trends, Categorization, Applications, Research Challenges, and Future Outlook—0
FrozenRecon: Pose-free 3D Scene Reconstruction with Frozen Depth Models—0
Self-Supervised Monocular Depth Estimation by Direction-aware Cumulative Convolution NetworkCode1
Blur aware metric depth estimation with multi-focus plenoptic camerasCode1
SAAM: Stealthy Adversarial Attack on Monocular Depth Estimation—0
Syn-Mediverse: A Multimodal Synthetic Dataset for Intelligent Scene Understanding of Healthcare Facilities—0
EndoDepthL: Lightweight Endoscopic Monocular Depth Estimation with CNN-Transformer—0
Robust Self-Supervised Extrinsic Self-Calibration—0
Diffusion-Augmented Depth Prediction with Sparse Annotations—0
Hand tracking for clinical applications: validation of the Google MediaPipe Hand (GMH) and the depth-enhanced GMH-D frameworks—0
Digging Into Uncertainty-based Pseudo-label for Robust Stereo MatchingCode1
Rapid Flood Inundation Forecast Using Fourier Neural Operator—0
Improved Neural Radiance Fields Using Pseudo-depth and Fusion—0
NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object DetectionCode2
FS-Depth: Focal-and-Scale Depth Estimation from a Single Image in Unseen Indoor Scene—0
The RoboDepth Challenge: Methods and Advancements Towards Robust Depth EstimationCode2
Towards Deeply Unified Depth-aware Panoptic Segmentation with Bi-directional Guidance LearningCode1
Learning Depth Estimation for Transparent and Mirror SurfacesCode1
MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation—0
MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation—0
PlaneRecTR++: Unified Query Learning for Joint 3D Planar Reconstruction and Pose EstimationCode1
LiDAR Meta Depth CompletionCode1
FDCT: Fast Depth Completion for Transparent ObjectsCode1
SimCol3D -- 3D Reconstruction during Colonoscopy ChallengeCode1
Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTVCode1
OCTraN: 3D Occupancy Convolutional Transformer Network in Unstructured Traffic Scenarios—0
Metric3D: Towards Zero-shot Metric 3D Prediction from A Single ImageCode4
Measuring and Modeling Uncertainty Degree for Monocular Depth Estimation—0
Constraining Depth Map Geometry for Multi-View Stereo: A Dual-Depth Approach with Saddle-shaped Depth CellsCode1
Self-supervised Monocular Depth Estimation: Let's Talk About The WeatherCode1
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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