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 22012250 of 2454 papers

TitleStatusHype
MFuseNet: Robust Depth Estimation with Learned Multiscopic Fusion0
MGS-SLAM: Monocular Sparse Tracking and Gaussian Mapping with Depth Smooth Regularization0
MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation0
Exploring the Impacts from Datasets to Monocular Depth Estimation (MDE) Models with MineNavi0
MINERVAS: Massive INterior EnviRonments VirtuAl Synthesis0
Minimizing the Effect of Noise and Limited Dataset Size in Image Classification Using Depth Estimation as an Auxiliary Task with Deep Multitask Learning0
MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation0
Mitigating Perspective Distortion-induced Shape Ambiguity in Image Crops0
Mobile3DRecon: Real-time Monocular 3D Reconstruction on a Mobile Phone0
MobileDepth: Efficient Monocular Depth Prediction on Mobile Devices0
Modality-Guided Subnetwork for Salient Object Detection0
MoDGS: Dynamic Gaussian Splatting from Casually-captured Monocular Videos with Depth Priors0
MoD-SLAM: Monocular Dense Mapping for Unbounded 3D Scene Reconstruction0
MoGDE: Boosting Mobile Monocular 3D Object Detection with Ground Depth Estimation0
Monitoring social distancing with single image depth estimation0
Mono2Stereo: Monocular Knowledge Transfer for Enhanced Stereo Matching0
MonoComb: A Sparse-to-Dense Combination Approach for Monocular Scene Flow0
MonoCoP: Chain-of-Prediction for Monocular 3D Object Detection0
MonoCT: Overcoming Monocular 3D Detection Domain Shift with Consistent Teacher Models0
Monocular 3D Human Pose Estimation by Predicting Depth on Joints0
Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation0
Monocular and Generalizable Gaussian Talking Head Animation0
Monocular Depth Estimation: A Survey0
Monocular Depth Estimation Based On Deep Learning: An Overview0
Monocular Depth Estimation by Learning from Heterogeneous Datasets0
Monocular Depth Estimation for Soft Visuotactile Sensors0
Monocular Depth Estimation Primed by Salient Point Detection and Normalized Hessian Loss0
Monocular Depth Estimation using Diffusion Models0
Monocular Depth Estimation Using Multi Scale Neural Network And Feature Fusion0
Monocular Depth Estimation Using Neural Regression Forest0
Monocular Depth Estimation Using Relative Depth Maps0
Monocular Depth Estimation Using Whole Strip Masking and Reliability-Based Refinement0
Monocular Depth Estimation with Affinity, Vertical Pooling, and Label Enhancement0
Monocular Depth Estimation with Augmented Ordinal Depth Relationships0
Monocular Depth Estimation with Directional Consistency by Deep Networks0
Monocular Depth Estimation with Self-supervised Instance Adaptation0
Monocular Depth Estimation with Sharp Boundary0
Monocular Depth Estimators: Vulnerabilities and Attacks0
Monocular Differentiable Rendering for Self-Supervised 3D Object Detection0
Monocular Fisheye Camera Depth Estimation Using Sparse LiDAR Supervision0
Monocular One-Shot Metric-Depth Alignment for RGB-Based Robot Grasping0
Monocular Piecewise Depth Estimation in Dynamic Scenes by Exploiting Superpixel Relations0
Monocular Relative Depth Perception With Web Stereo Data Supervision0
Monocular Retinal Depth Estimation and Joint Optic Disc and Cup Segmentation using Adversarial Networks0
Monocular Spherical Depth Estimation with Explicitly Connected Weak Layout Cues0
MonoDETRNext: Next-Generation Accurate and Efficient Monocular 3D Object Detector0
MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-aware Video Panoptic Segmentation0
MonoGRNet: A General Framework for Monocular 3D Object Detection0
MonoIndoor++:Towards Better Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments0
MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments0
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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