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 2251–2300 of 2454 papers

TitleStatusHype
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic ImageryCode0
Simultaneous Localization And Mapping with depth Prediction using Capsule Networks for UAVs—0
DeepTAM: Deep Tracking and MappingCode0
Learning monocular depth estimation with unsupervised trinocular assumptionsCode0
T2Net: Synthetic-to-Realistic Translation for Solving Single-Image Depth Estimation TasksCode0
Depth Estimation via Affinity Learned with Convolutional Spatial Propagation NetworkCode0
Geo-Supervised Visual Depth PredictionCode0
Unsupervised Adversarial Depth Estimation using Cycled Generative NetworksCode0
OmniDepth: Dense Depth Estimation for Indoors Spherical PanoramasCode0
CReaM: Condensed Real-time Models for Depth Prediction using Convolutional Neural Networks—0
StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth PredictionCode0
MVDepthNet: Real-time Multiview Depth Estimation Neural NetworkCode0
Peeking Behind Objects: Layered Depth Prediction from a Single Image—0
ENG: End-to-end Neural Geometry for Robust Depth and Pose Estimation using CNNs—0
Deep attention-based classification network for robust depth predictionCode0
Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry—0
Towards real-time unsupervised monocular depth estimation on CPUCode1
Every Pixel Counts: Unsupervised Geometry Learning with Holistic 3D Motion Understanding—0
Learning Single-Image Depth from Videos using Quality Assessment Networks—0
Self-supervised Learning for Dense Depth Estimation in Monocular Endoscopy—0
Deep multi-scale architectures for monocular depth estimation—0
Deep Ordinal Regression Network for Monocular Depth EstimationCode1
Digging Into Self-Supervised Monocular Depth EstimationCode1
Soccer on Your Tabletop—0
Monocular Depth Estimation with Augmented Ordinal Depth Relationships—0
Trust Your Model: Light Field Depth Estimation With Inline Occlusion Handling—0
Real-Time Monocular Depth Estimation Using Synthetic Data With Domain Adaptation via Image Style TransferCode1
Free Supervision From Video Games—0
Matching Adversarial Networks—0
Monocular Relative Depth Perception With Web Stereo Data Supervision—0
Single-Image Depth Estimation Based on Fourier Domain AnalysisCode0
GeoNet: Geometric Neural Network for Joint Depth and Surface Normal EstimationCode1
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion SegmentationCode0
Deep Learning with Cinematic Rendering: Fine-Tuning Deep Neural Networks Using Photorealistic Medical Images—0
Adversarial Structure Matching for Structured Prediction TasksCode0
Recurrent Neural Network for Learning DenseDepth and Ego-Motion from Video—0
Auxiliary Tasks in Multi-task LearningCode0
Just-in-Time Reconstruction: Inpainting Sparse Maps using Single View Depth Predictors as Priors—0
PAD-Net: Multi-Tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing—0
Position Estimation of Camera Based on Unsupervised Learning—0
Evaluation of CNN-based Single-Image Depth Estimation Methods—0
Deep cross-domain building extraction for selective depth estimation from oblique aerial imagery—0
PlaneNet: Piece-wise Planar Reconstruction from a Single RGB ImageCode0
Dual CNN Models for Unsupervised Monocular Depth EstimationCode0
Estimating Depth from RGB and Sparse SensingCode0
EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth from Light Field ImagesCode0
MegaDepth: Learning Single-View Depth Prediction from Internet PhotosCode1
Structured Attention Guided Convolutional Neural Fields for Monocular Depth EstimationCode0
Motion Guided LIDAR-camera Self-calibration and Accelerated Depth Upsampling for Autonomous Vehicles—0
Learning Depth from Single Images with Deep Neural Network Embedding Focal Length—0
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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