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 751–800 of 2454 papers

TitleStatusHype
Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRICode1
PatchFusion: An End-to-End Tile-Based Framework for High-Resolution Monocular Metric Depth EstimationCode3
BEVNeXt: Reviving Dense BEV Frameworks for 3D Object DetectionCode1
Repurposing Diffusion-Based Image Generators for Monocular Depth EstimationCode4
GIVT: Generative Infinite-Vocabulary TransformersCode1
GPS-Gaussian: Generalizable Pixel-wise 3D Gaussian Splatting for Real-time Human Novel View SynthesisCode2
Deeper into Self-Supervised Monocular Indoor Depth EstimationCode1
Diffusion Handles: Enabling 3D Edits for Diffusion Models by Lifting Activations to 3D—0
Enhancing Diffusion Models with 3D Perspective Geometry Constraints—0
Sparse Beats Dense: Rethinking Supervision in Radar-Camera Depth CompletionCode1
Multi-task learning with cross-task consistency for improved depth estimation in colonoscopy—0
DGNR: Density-Guided Neural Point Rendering of Large Driving Scenes—0
UC-NeRF: Neural Radiance Field for Under-Calibrated Multi-view Cameras in Autonomous Driving—0
WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space—0
Depth-Regularized Optimization for 3D Gaussian Splatting in Few-Shot ImagesCode2
Camera-Independent Single Image Depth Estimation from Defocus BlurCode0
Transferring to Real-World Layouts: A Depth-aware Framework for Scene AdaptationCode1
SelfOcc: Self-Supervised Vision-Based 3D Occupancy PredictionCode2
ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches—0
Depth Insight -- Contribution of Different Features to Indoor Single-image Depth Estimation—0
RENI++ A Rotation-Equivariant, Scale-Invariant, Natural Illumination PriorCode1
Why Autonomous Vehicles Are Not Ready Yet: A Multi-Disciplinary Review of Problems, Attempted Solutions, and Future Directions—0
Learning based Deep Disentangling Light Field Reconstruction and Disparity Estimation Application—0
DeepMetricEye: Metric Depth Estimation in Periocular VR Imagery—0
MonoDiffusion: Self-Supervised Monocular Depth Estimation Using Diffusion ModelCode1
NDDepth: Normal-Distance Assisted Monocular Depth Estimation and CompletionCode1
MonoProb: Self-Supervised Monocular Depth Estimation with Interpretable UncertaintyCode1
PolyMaX: General Dense Prediction with Mask Transformer—0
Leveraging a realistic synthetic database to learn Shape-from-Shading for estimating the colon depth in colonoscopy images—0
Learning Robust Multi-Scale Representation for Neural Radiance Fields from Unposed Images—0
Analysis of NaN Divergence in Training Monocular Depth Estimation Model—0
TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene UnderstandingCode1
Continual Learning of Unsupervised Monocular Depth from VideosCode0
Bridging the Gap between Multi-focus and Multi-modal: A Focused Integration Framework for Multi-modal Image FusionCode1
Learning to Adapt CLIP for Few-Shot Monocular Depth Estimation—0
Joint Depth Prediction and Semantic Segmentation with Multi-View SAM—0
Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes—0
Learning depth from monocular video sequences—0
Deep Imbalanced Regression via Hierarchical Classification Adjustment—0
Metrically Scaled Monocular Depth Estimation through Sparse Priors for Underwater RobotsCode1
Towards Explainability in Monocular Depth Estimation—0
G2-MonoDepth: A General Framework of Generalized Depth Inference from Monocular RGB+X DataCode1
RoboDepth: Robust Out-of-Distribution Depth Estimation under CorruptionsCode2
Guidance system for Visually Impaired Persons using Deep Learning and Optical flow—0
A Quantitative Evaluation of Dense 3D Reconstruction of Sinus Anatomy from Monocular Endoscopic Video—0
Mobile AR Depth Estimation: Challenges & Prospects -- Extended VersionCode1
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement—0
Towards Abdominal 3-D Scene Rendering from Laparoscopy Surgical Videos using NeRFs—0
DPF-Nutrition: Food Nutrition Estimation via Depth Prediction and Fusion—0
FocDepthFormer: Transformer with latent LSTM for Depth Estimation from Focal Stack—0
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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