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

Showing 22512300 of 2454 papers

TitleStatusHype
Multiple Prior Representation Learning for Self-Supervised Monocular Depth Estimation via Hybrid TransformerCode0
Stereo-LiDAR Fusion by Semi-Global Matching With Discrete Disparity-Matching Cost and SemidensificationCode0
Deep Depth from Defocus: how can defocus blur improve 3D estimation using dense neural networks?Code0
Deep Depth Estimation From Thermal ImageCode0
Deep Depth Completion of a Single RGB-D ImageCode0
Multimodal Scale Consistency and Awareness for Monocular Self-Supervised Depth EstimationCode0
StereoNet: Guided Hierarchical Refinement for Real-Time Edge-Aware Depth PredictionCode0
Unsupervised Visible-light Images Guided Cross-Spectrum Depth Estimation from Dual-Modality CamerasCode0
False Negative Reduction in Video Instance Segmentation using Uncertainty EstimatesCode0
Multi-Modal Attention Networks for Enhanced Segmentation and Depth Estimation of Subsurface Defects in Pulse ThermographyCode0
A Simple Framework for 3D Lensless Imaging with Programmable MasksCode0
False Negative Reduction in Semantic Segmentation under Domain Shift using Depth EstimationCode0
Deep Component Analysis via Alternating Direction Neural NetworksCode0
Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth PredictionCode0
RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language DescriptionsCode0
BEVScope: Enhancing Self-Supervised Depth Estimation Leveraging Bird's-Eye-View in Dynamic ScenariosCode0
Deep attention-based classification network for robust depth predictionCode0
Two-stage Convolutional Part Heatmap Regression for the 1st 3D Face Alignment in the Wild (3DFAW) ChallengeCode0
Structure-Aware Residual Pyramid Network for Monocular Depth EstimationCode0
A Practical Calibration Method for RGB Micro-Grid Polarimetric CamerasCode0
MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and ClassificationCode0
Structured Attention Guided Convolutional Neural Fields for Monocular Depth EstimationCode0
SharpNet: Fast and Accurate Recovery of Occluding Contours in Monocular Depth EstimationCode0
Utilizing Multi-step Loss for Single Image Reflection RemovalCode0
Multi-body Depth and Camera Pose Estimation from Multiple ViewsCode0
Structured Knowledge Distillation for Dense PredictionCode0
Adversarial Attacks on Monocular Pose EstimationCode0
D4D: An RGBD diffusion model to boost monocular depth estimationCode0
A Physical Model-Guided Framework for Underwater Image Enhancement and Depth EstimationCode0
FA-Depth: Toward Fast and Accurate Self-supervised Monocular Depth EstimationCode0
SaccadeCam: Adaptive Visual Attention for Monocular Depth SensingCode0
Exploring the Mutual Influence between Self-Supervised Single-Frame and Multi-Frame Depth EstimationCode0
SAFENet: Self-Supervised Monocular Depth Estimation with Semantic-Aware Feature ExtractionCode0
U-HRNet: Delving into Improving Semantic Representation of High Resolution Network for Dense PredictionCode0
Benchmarking Robust Self-Supervised Learning Across Diverse Downstream TasksCode0
Style Augmentation: Data Augmentation via Style RandomizationCode0
MorphEyes: Variable Baseline Stereo For Quadrotor NavigationCode0
MonoSIM: Simulating Learning Behaviors of Heterogeneous Point Cloud Object Detectors for Monocular 3D Object DetectionCode0
MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object LocalizationCode0
Exploiting temporal consistency for real-time video depth estimationCode0
Sub-token ViT Embedding via Stochastic Resonance TransformersCode0
Anytime Stereo Image Depth Estimation on Mobile DevicesCode0
Benchmarking Robustness of Endoscopic Depth Estimation with Synthetically Corrupted DataCode0
Monocular Depth Parameterizing NetworksCode0
Exploiting Depth Information for Wildlife MonitoringCode0
ScaleDepth: Decomposing Metric Depth Estimation into Scale Prediction and Relative Depth EstimationCode0
Monocular Depth Estimation with Hierarchical Fusion of Dilated CNNs and Soft-Weighted-Sum InferenceCode0
Veritatem Dies Aperit- Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding ApproachCode0
Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic UnderstandingCode0
Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding ApproachCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OmniDepthRMSE0.62Unverified
2SphereDepthRMSE0.45Unverified
3Jin et al.RMSE0.42Unverified
4BiFuse with fusionRMSE0.41Unverified
5HoHoNet (ResNet-101)RMSE0.38Unverified
6PanoDepthRMSE0.37Unverified
7BiFuse++RMSE0.37Unverified
8UniFuse with fusionRMSE0.37Unverified
9DisConvRMSE0.37Unverified
10SliceNetRMSE0.37Unverified
#ModelMetricClaimedVerifiedStatus
1A2JmAP8.61Unverified
2PAD-NetRMS0.79Unverified
3MS-CRFRMS0.59Unverified
4DORNRMS0.51Unverified
5FreeformRMS0.43Unverified
6Optimized, freeformRMS0.43Unverified
7VNLRMS0.42Unverified
8BTSRMS0.41Unverified
9TransDepth (AGD+ ViT)RMS0.37Unverified
10AdaBinsRMS0.36Unverified
#ModelMetricClaimedVerifiedStatus
1T2NetAbs Rel0.35Unverified
2MIDASAbs Rel0.31Unverified
3Bhattacharjee et al.Abs Rel0.25Unverified
#ModelMetricClaimedVerifiedStatus
1T2NetAbs Rel0.49Unverified
2MIDASAbs Rel0.42Unverified
3Bhattacharjee et al.Abs Rel0.38Unverified
#ModelMetricClaimedVerifiedStatus
1LeReSabsolute relative error0.1Unverified
2DELTASabsolute relative error0.09Unverified
3Distill Any Depthabsolute relative error0.04Unverified
#ModelMetricClaimedVerifiedStatus
1SDC-DepthRMSE6.92Unverified
2SwinMTLRMSE6.35Unverified
#ModelMetricClaimedVerifiedStatus
1AIP-BrownDelta < 1.250.36Unverified
2LeResDelta < 1.250.23Unverified
#ModelMetricClaimedVerifiedStatus
1H-Net (Ours)Absolute relative error (AbsRel)0.09Unverified
2H-Net (Ours) Full EigenAbsolute relative error (AbsRel)0.08Unverified
#ModelMetricClaimedVerifiedStatus
1GLPDepthDelta < 1.250.43Unverified
2SRDINET (Model A)Delta < 1.250.4Unverified
#ModelMetricClaimedVerifiedStatus
1Atlas (finetuned)RMSE0.17Unverified
2Atlas (plain)RMSE0.17Unverified
#ModelMetricClaimedVerifiedStatus
1LFattNetBadPix(0.01)17.23Unverified
#ModelMetricClaimedVerifiedStatus
1LightDepthNumber of parameters (M)42.6Unverified
#ModelMetricClaimedVerifiedStatus
1UniFuseAbs Rel0.11Unverified
#ModelMetricClaimedVerifiedStatus
1X-TC (Cross-Task Consistency)L1 error1.63Unverified