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 451–500 of 2454 papers

TitleStatusHype
Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth EstimationCode1
Disparity Estimation Using a Quad-Pixel SensorCode1
Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual PerceptionCode1
Maximizing Self-supervision from Thermal Image for Effective Self-supervised Learning of Depth and Ego-motionCode1
Channel-Aware Distillation Transformer for Depth Estimation on Nano DronesCode1
Automated Distance Estimation for Wildlife Camera TrappingCode1
Improving 360 Monocular Depth Estimation via Non-local Dense Prediction Transformer and Joint Supervised and Self-supervised LearningCode1
DeepVideoMVS: Multi-View Stereo on Video with Recurrent Spatio-Temporal FusionCode1
M4Depth: Monocular depth estimation for autonomous vehicles in unseen environmentsCode1
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth EstimationCode1
Bi3D: Stereo Depth Estimation via Binary ClassificationsCode1
DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation LearningCode1
Discrete Cosine Transform Network for Guided Depth Map Super-ResolutionCode1
DEFLOW: Self-supervised 3D Motion Estimation of Debris FlowCode1
Defocus Blur Detection via Depth DistillationCode1
BiFuse: Monocular 360 Depth Estimation via Bi-Projection FusionCode1
Discrete Time Convolution for Fast Event-Based StereoCode1
BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth EstimationCode1
MegaDepth: Learning Single-View Depth Prediction from Internet PhotosCode1
InSpaceType: Dataset and Benchmark for Reconsidering Cross-Space Type Performance in Indoor Monocular DepthCode1
Digging Into Self-Supervised Monocular Depth EstimationCode1
CDGS: Confidence-Aware Depth Regularization for 3D Gaussian SplattingCode1
Digging Into Uncertainty-based Pseudo-label for Robust Stereo MatchingCode1
IntroductionCode1
Adaptive confidence thresholding for monocular depth estimationCode1
PLNet: Plane and Line Priors for Unsupervised Indoor Depth EstimationCode1
Dense Depth Estimation from Multiple 360-degree Images Using Virtual DepthCode1
Is Pseudo-Lidar needed for Monocular 3D Object detection?Code1
A Concise but High-performing Network for Image Guided Depth Completion in Autonomous DrivingCode1
JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving ScenesCode1
Digging into contrastive learning for robust depth estimation with diffusion modelsCode1
Categorical Depth Distribution Network for Monocular 3D Object DetectionCode1
Differentiable Diffusion for Dense Depth Estimation from Multi-view ImagesCode1
Latent Discriminant deterministic UncertaintyCode1
DID-M3D: Decoupling Instance Depth for Monocular 3D Object DetectionCode1
Learning Ego 3D Representation as Ray TracingCode1
Blur aware metric depth estimation with multi-focus plenoptic camerasCode1
Depth and DOF Cues Make A Better Defocus Blur DetectorCode1
A Confidence-based Iterative Solver of Depths and Surface Normals for Deep Multi-view StereoCode1
Mirror3D: Depth Refinement for Mirror SurfacesCode1
Can Language Understand Depth?Code1
BodySLAM: A Generalized Monocular Visual SLAM Framework for Surgical ApplicationsCode1
Lightweight Monocular Depth Estimation through Guided DecodingCode1
LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty GuidanceCode1
Detaching and Boosting: Dual Engine for Scale-Invariant Self-Supervised Monocular Depth EstimationCode1
Detecting Invisible PeopleCode1
Learning Light Field Angular Super-Resolution via a Geometry-Aware NetworkCode1
Self-supervised 3D Representation Learning of Dressed Humans from Social Media VideosCode1
LightedDepth: Video Depth Estimation in Light of Limited Inference View AnglesCode1
LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile DevicesCode1
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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