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 401–450 of 2454 papers

TitleStatusHype
Crafting Monocular Cues and Velocity Guidance for Self-Supervised Multi-Frame Depth LearningCode1
Self-Supervised Depth Estimation in Laparoscopic Image using 3D Geometric ConsistencyCode1
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision TransformerCode1
TransDSSL: Transformer based Depth Estimation via Self-Supervised LearningCode1
Neural Contourlet Network for Monocular 360 Depth EstimationCode1
Gradient-based Uncertainty for Monocular Depth EstimationCode1
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that MatterCode1
Less is More: Consistent Video Depth Estimation with Masked Frames ModelingCode1
Towards Domain-agnostic Depth CompletionCode1
RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth EstimationCode1
Cost Volume Pyramid Network with Multi-strategies Range Searching for Multi-view StereoCode1
Multi-Event-Camera Depth Estimation and Outlier Rejection by Refocused Events FusionCode1
Latent Discriminant deterministic UncertaintyCode1
Learning Depth from Focus in the WildCode1
Densely Constrained Depth Estimator for Monocular 3D Object DetectionCode1
DID-M3D: Decoupling Instance Depth for Monocular 3D Object DetectionCode1
JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving ScenesCode1
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural NetworksCode1
Physical Attack on Monocular Depth Estimation with Optimal Adversarial PatchesCode1
Depthformer : Multiscale Vision Transformer For Monocular Depth Estimation With Local Global Information FusionCode1
Network Binarization via Contrastive LearningCode1
Can Language Understand Depth?Code1
When the Sun Goes Down: Repairing Photometric Losses for All-Day Depth EstimationCode1
MGNet: Monocular Geometric Scene Understanding for Autonomous DrivingCode1
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic SegmentationCode1
DenseMTL: Cross-task Attention Mechanism for Dense Multi-task LearningCode1
MonoGround: Detecting Monocular 3D Objects from the GroundCode1
TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose EstimationCode1
Dyna-DM: Dynamic Object-aware Self-supervised Monocular Depth MapsCode1
Learning Ego 3D Representation as Ray TracingCode1
PanopticDepth: A Unified Framework for Depth-aware Panoptic SegmentationCode1
Revealing the Dark Secrets of Masked Image ModelingCode1
Wavelet Feature Maps Compression for Image-to-Image CNNsCode1
Deep Digging into the Generalization of Self-Supervised Monocular Depth EstimationCode1
Visual Attention-based Self-supervised Absolute Depth Estimation using Geometric Priors in Autonomous DrivingCode1
MulT: An End-to-End Multitask Learning TransformerCode1
Non-parametric Depth Distribution Modelling based Depth Inference for Multi-view StereoCode1
Creating a Forensic Database of Shoeprints from Online Shoe Tread PhotosCode1
Overcoming the Distance Estimation Bottleneck in Estimating Animal Abundance with Camera TrapsCode1
Semi-MoreGAN: A New Semi-supervised Generative Adversarial Network for Mixture of Rain RemovalCode1
Photometric single-view dense 3D reconstruction in endoscopyCode1
Cylin-Painting: Seamless 360 Panoramic Image Outpainting and BeyondCode1
StaSiS-Net: a stacked and siamese stereo network for depth reconstruction in modern 3D laparoscopy.Code1
P3Depth: Monocular Depth Estimation with a Piecewise Planarity PriorCode1
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular DepthCode1
LocalBins: Improving Depth Estimation by Learning Local DistributionsCode1
Learning Occlusion-Aware Coarse-to-Fine Depth Map for Self-supervised Monocular Depth EstimationCode1
Depth Completion using Geometry-Aware EmbeddingCode1
Depth Estimation by Combining Binocular Stereo and Monocular Structured-LightCode1
PanoFormer: Panorama Transformer for Indoor 360 Depth EstimationCode1
Show:102550
← PrevPage 9 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