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 1501–1550 of 2454 papers

TitleStatusHype
A New Distributional Ranking Loss With Uncertainty: Illustrated in Relative Depth Estimation—0
An Inpainting-Infused Pipeline for Attire and Background Replacement—0
A Novel 3D-UNet Deep Learning Framework Based on High-Dimensional Bilateral Grid for Edge Consistent Single Image Depth Estimation—0
A novel gesture interaction control method for rehabilitation lower extremity exoskeleton—0
A Novel Monocular Disparity Estimation Network with Domain Transformation and Ambiguity Learning—0
A Novel Spike Transformer Network for Depth Estimation from Event Cameras via Cross-modality Knowledge Distillation—0
A Novel Binocular Eye-Tracking SystemWith Stereo Stimuli for 3D Gaze Estimation—0
A Novel Unsupervised Domain Adaption Method for Depth-Guided Semantic Segmentation Using Coarse-to-Fine Alignment—0
APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation—0
Aperture Supervision for Monocular Depth Estimation—0
Why Autonomous Vehicles Are Not Ready Yet: A Multi-Disciplinary Review of Problems, Attempted Solutions, and Future Directions—0
Approaches, Challenges, and Applications for Deep Visual Odometry: Toward to Complicated and Emerging Areas—0
A Quantitative Evaluation of Dense 3D Reconstruction of Sinus Anatomy from Monocular Endoscopic Video—0
Architect: Generating Vivid and Interactive 3D Scenes with Hierarchical 2D Inpainting—0
Are conditional GANs explicitly conditional?—0
A Simple Baseline for Supervised Surround-view Depth Estimation—0
A Survey on Deep Learning Techniques for Stereo-based Depth Estimation—0
A Systematic Literature Review on Deep Learning-based Depth Estimation in Computer Vision—0
Attention-Aware Multi-View Stereo—0
Attention meets Geometry: Geometry Guided Spatial-Temporal Attention for Consistent Self-Supervised Monocular Depth Estimation—0
Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation—0
Attentive Feature Reuse for Multi Task Meta learning—0
Aug3D-RPN: Improving Monocular 3D Object Detection by Synthetic Images with Virtual Depth—0
Augmenting Depth Estimation with Geospatial Context—0
A Unified Formulation for Visual Odometry—0
AutoDepthNet: High Frame Rate Depth Map Reconstruction using Commodity Depth and RGB Cameras—0
Automated Floodwater Depth Estimation Using Large Multimodal Model for Rapid Flood Mapping—0
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies—0
Autonomously Navigating a Surgical Tool Inside the Eye by Learning from Demonstration—0
AuxNet: Auxiliary tasks enhanced Semantic Segmentation for Automated Driving—0
A Vanilla Multi-Task Framework for Dense Visual Prediction Solution to 1st VCL Challenge -- Multi-Task Robustness Track—0
AVS-Net: Audio-Visual Scale Net for Self-supervised Monocular Metric Depth Estimation—0
A Weakly-Supervised Depth Estimation Network Using Attention Mechanism—0
A Wide-Field-Of-View Monocentric Light Field Camera—0
BadDepth: Backdoor Attacks Against Monocular Depth Estimation in the Physical World—0
Balanced Depth Completion between Dense Depth Inference and Sparse Range Measurements via KISS-GP—0
Balancing Shared and Task-Specific Representations: A Hybrid Approach to Depth-Aware Video Panoptic Segmentation—0
Bayesian Deep Basis Fitting for Depth Completion with Uncertainty—0
Bayesian Depth-from-Defocus with Shading Constraints—0
@Bench: Benchmarking Vision-Language Models for Human-centered Assistive Technology—0
BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation—0
BEVStereo++: Accurate Depth Estimation in Multi-view 3D Object Detection via Dynamic Temporal Stereo—0
Beyond Appearance: Geometric Cues for Robust Video Instance Segmentation—0
Beyond Inference: Performance Analysis of DNN Server Overheads for Computer Vision—0
Beyond Visual Field of View: Perceiving 3D Environment with Echoes and Vision—0
Black-box Adversarial Attacks on Monocular Depth Estimation Using Evolutionary Multi-objective Optimization—0
BLADE: Single-view Body Mesh Estimation through Accurate Depth Estimation—0
BLADE: Single-view Body Mesh Learning through Accurate Depth Estimation—0
BlindSpotNet: Seeing Where We Cannot See—0
BLINK: Multimodal Large Language Models Can See but Not Perceive—0
Show:102550
← PrevPage 31 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