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 101–150 of 2454 papers

TitleStatusHype
Endo3R: Unified Online Reconstruction from Dynamic Monocular Endoscopic Video—0
FreSca: Unveiling the Scaling Space in Diffusion Models—0
GaussianLSS -- Toward Real-world BEV Perception: Depth Uncertainty Estimation via Gaussian Splatting—0
A novel gesture interaction control method for rehabilitation lower extremity exoskeleton—0
DEPTHOR: Depth Enhancement from a Practical Light-Weight dToF Sensor and RGB ImageCode1
Monocular and Generalizable Gaussian Talking Head Animation—0
GeometryCrafter: Consistent Geometry Estimation for Open-world Videos with Diffusion Priors—0
Detail-aware multi-view stereo network for depth estimationCode0
ExScene: Free-View 3D Scene Reconstruction with Gaussian Splatting from a Single Image—0
Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation ModelCode1
Blurry-Edges: Photon-Limited Depth Estimation from Defocused Boundaries—0
Deep Depth Estimation from Thermal Image: Dataset, Benchmark, and ChallengesCode1
One Look is Enough: A Novel Seamless Patchwise Refinement for Zero-Shot Monocular Depth Estimation Models on High-Resolution Images—0
Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces—0
EndoLRMGS: Complete Endoscopic Scene Reconstruction combining Large Reconstruction Modelling and Gaussian SplattingCode0
MVSAnywhere: Zero-Shot Multi-View Stereo—0
ICG-MVSNet: Learning Intra-view and Cross-view Relationships for Guidance in Multi-View Stereo—0
A Unified Image-Dense Annotation Generation Model for Underwater ScenesCode2
Uni4D: Unifying Visual Foundation Models for 4D Modeling from a Single VideoCode3
Omnidirectional Depth-Aided Occupancy Prediction based on Cylindrical Voxel for Autonomous Driving—0
Synthetic-to-Real Self-supervised Robust Depth Estimation via Learning with Motion and Structure PriorsCode1
Tracktention: Leveraging Point Tracking to Attend Videos Faster and Better—0
FUSE: Label-Free Image-Event Joint Monocular Depth Estimation via Frequency-Decoupled Alignment and Degradation-Robust FusionCode0
Semi-SD: Semi-Supervised Metric Depth Estimation via Surrounding Cameras for Autonomous DrivingCode0
StableGS: A Floater-Free Framework for 3D Gaussian Splatting—0
PDDM: Pseudo Depth Diffusion Model for RGB-PD Semantic Segmentation Based in Complex Indoor Scenes—0
Co-SemDepth: Fast Joint Semantic Segmentation and Depth Estimation on Aerial ImagesCode0
Pow3R: Empowering Unconstrained 3D Reconstruction with Camera and Scene Priors—0
Radar-Guided Polynomial Fitting for Metric Depth Estimation—0
GAA-TSO: Geometry-Aware Assisted Depth Completion for Transparent and Specular Objects—0
QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the EdgeCode1
Jasmine: Harnessing Diffusion Prior for Self-supervised Depth Estimation—0
Dynamic Point Maps: A Versatile Representation for Dynamic 3D Reconstruction—0
Learning to Efficiently Adapt Foundation Models for Self-Supervised Endoscopic 3D Scene Reconstruction from Any Cameras—0
TULIP: Towards Unified Language-Image Pretraining—0
USAM-Net: A U-Net-based Network for Improved Stereo Correspondence and Scene Depth Estimation using Features from a Pre-trained Image Segmentation network—0
EgoDTM: Towards 3D-Aware Egocentric Video-Language PretrainingCode0
3D Densification for Multi-Map Monocular VSLAM in Endoscopy—0
DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers—0
Multi-view Reconstruction via SfM-guided Monocular Depth Estimation—0
Improving Geometric Consistency for 360-Degree Neural Radiance Fields in Indoor Scenarios—0
MonoCT: Overcoming Monocular 3D Detection Domain Shift with Consistent Teacher Models—0
Seeing and Seeing Through the Glass: Real and Synthetic Data for Multi-Layer Depth Estimation—0
VGGT: Visual Geometry Grounded TransformerCode11
Simulating Dual-Pixel Images From Ray Tracing For Depth EstimationCode1
Flow-NeRF: Joint Learning of Geometry, Poses, and Dense Flow within Unified Neural Representations—0
WonderVerse: Extendable 3D Scene Generation with Video Generative Models—0
GarmentCrafter: Progressive Novel View Synthesis for Single-View 3D Garment Reconstruction and Editing—0
Endo-FASt3r: Endoscopic Foundation model Adaptation for Structure from motion—0
LBM: Latent Bridge Matching for Fast Image-to-Image TranslationCode4
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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