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 501–550 of 2454 papers

TitleStatusHype
Depth-Aware Endoscopic Video InpaintingCode1
Maximizing Self-supervision from Thermal Image for Effective Self-supervised Learning of Depth and Ego-motionCode1
Depth-aware Test-Time Training for Zero-shot Video Object SegmentationCode1
Depth-aware Volume Attention for Texture-less Stereo MatchingCode1
MTStereo 2.0: improved accuracy of stereo depth estimation withMax-treesCode1
An intelligent modular real-time vision-based system for environment perceptionCode1
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenesCode1
Depth Completion using Geometry-Aware EmbeddingCode1
MGNet: Monocular Geometric Scene Understanding for Autonomous DrivingCode1
Manydepth2: Motion-Aware Self-Supervised Multi-Frame Monocular Depth Estimation in Dynamic ScenesCode1
Camera-based 3D Semantic Scene Completion with Sparse Guidance NetworkCode1
AdaBins: Depth Estimation using Adaptive BinsCode1
Dusk Till Dawn: Self-supervised Nighttime Stereo Depth Estimation using Visual Foundation ModelsCode1
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision TransformerCode1
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasksCode1
Dual Pixel Exploration: Simultaneous Depth Estimation and Image RestorationCode1
Calibrating Panoramic Depth Estimation for Practical Localization and MappingCode1
MonoPLFlowNet: Permutohedral Lattice FlowNet for Real-Scale 3D Scene FlowEstimation with Monocular ImagesCode1
CaFNet: A Confidence-Driven Framework for Radar Camera Depth EstimationCode1
3DPPE: 3D Point Positional Encoding for Multi-Camera 3D Object Detection TransformersCode1
DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward EquilibriumCode1
MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable UncertaintyCode1
Depthformer : Multiscale Vision Transformer For Monocular Depth Estimation With Local Global Information FusionCode1
MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object DetectionCode1
DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and TrackingCode1
Active Perception with A Monocular Camera for Multiscopic VisionCode1
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost VolumeCode1
Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image TranslationCode1
MonoMVSNet: Monocular Priors Guided Multi-View Stereo NetworkCode1
MulT: An End-to-End Multitask Learning TransformerCode1
Distilled Semantics for Comprehensive Scene Understanding from VideosCode1
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular DepthCode1
DiverseDepth: Affine-invariant Depth Prediction Using Diverse DataCode1
Discrete Cosine Transform Network for Guided Depth Map Super-ResolutionCode1
Bridging Unsupervised and Supervised Depth from Focus via All-in-Focus SupervisionCode1
Discrete Time Convolution for Fast Event-Based StereoCode1
Digging Into Uncertainty-based Pseudo-label for Robust Stereo MatchingCode1
Bridging the Gap between Multi-focus and Multi-modal: A Focused Integration Framework for Multi-modal Image FusionCode1
Monocular Visual-Inertial Depth EstimationCode1
Disparity Estimation Using a Quad-Pixel SensorCode1
Automated Distance Estimation for Wildlife Camera TrappingCode1
MonoDiffusion: Self-Supervised Monocular Depth Estimation Using Diffusion ModelCode1
Digging into contrastive learning for robust depth estimation with diffusion modelsCode1
Domain Adaptive Semantic Segmentation with Self-Supervised Depth EstimationCode1
Differentiable Diffusion for Dense Depth Estimation from Multi-view ImagesCode1
DID-M3D: Decoupling Instance Depth for Monocular 3D Object DetectionCode1
Digging Into Self-Supervised Monocular Depth EstimationCode1
Brain Captioning: Decoding human brain activity into images and textCode1
Monocular Depth Estimation Using Laplacian Pyramid-Based Depth ResidualsCode1
3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-LabelingCode1
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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