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 2401–2450 of 2454 papers

TitleStatusHype
Depth Estimation from Single Image using Sparse Representations—0
3DFS: Deformable Dense Depth Fusion and Segmentation for Object Reconstruction from a Handheld Camera—0
Richardson-Lucy Deblurring for Moving Light Field Cameras—0
Monocular Depth Estimation Using Neural Regression Forest—0
Panoramic Stereo Videos With a Single Camera—0
Dense Monocular Depth Estimation in Complex Dynamic Scenes—0
Simultaneous Estimation of Near IR BRDF and Fine-Scale Surface Geometry—0
Heterogeneous Light Fields—0
What Sparse Light Field Coding Reveals About Scene Structure—0
Robust Light Field Depth Estimation for Noisy Scene With Occlusion—0
Stereo Matching With Color and Monochrome Cameras in Low-Light Conditions—0
Structured Regression Gradient Boosting—0
Macroscopic Interferometry: Rethinking Depth Estimation With Frequency-Domain Time-Of-Flight—0
Dynamic Filter NetworksCode0
Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions—0
Estimating Depth from Monocular Images as Classification Using Deep Fully Convolutional Residual Networks—0
Joint Semantic Segmentation and Depth Estimation with Deep Convolutional Networks—0
Symmetry-aware Depth Estimation using Deep Neural Networks—0
Single-Image Depth Perception in the WildCode0
Waterdrop Stereo—0
Unified Depth Prediction and Intrinsic Image Decomposition from a Single Image via Joint Convolutional Neural FieldsCode0
Unsupervised CNN for Single View Depth Estimation: Geometry to the RescueCode0
Image and Depth from a Single Defocused Image Using Coded Aperture Photography—0
Discriminative Training of Deep Fully-connected Continuous CRF with Task-specific Loss—0
High Quality Structure From Small Motion for Rolling Shutter Cameras—0
Direct, Dense, and Deformable: Template-Based Non-Rigid 3D Reconstruction From RGB Video—0
Intrinsic Depth: Improving Depth Transfer With Intrinsic Images—0
Occlusion-Aware Depth Estimation Using Light-Field Cameras—0
Learning Ordinal Relationships for Mid-Level Vision—0
Structured Depth Prediction in Challenging Monocular Video Sequences—0
Depth Extraction from Videos Using Geometric Context and Occlusion Boundaries—0
Lifting GIS Maps into Strong Geometric Context for Scene Understanding—0
Indoor Scene Structure Analysis for Single Image Depth Estimation—0
Towards Unified Depth and Semantic Prediction From a Single Image—0
HC-Search for Structured Prediction in Computer Vision—0
Direction Matters: Depth Estimation With a Surface Normal Classifier—0
Accurate Depth Map Estimation From a Lenslet Light Field Camera—0
Superpixel Meshes for Fast Edge-Preserving Surface Reconstruction—0
Depth From Shading, Defocus, and Correspondence Using Light-Field Angular Coherence—0
Diffusion Methods for Classification with Pairwise Relationships—0
Learning Depth from Single Monocular Images Using Deep Convolutional Neural FieldsCode0
Coupled Depth Learning—0
Analog Signal Processing Approach for Coarse and Fine Depth Estimation—0
Deep Convolutional Neural Fields for Depth Estimation from a Single Image—0
Vision and Learning for Deliberative Monocular Cluttered Flight—0
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional ArchitectureCode0
Joint Depth Estimation and Camera Shake Removal from Single Blurry Image—0
Pulling Things out of Perspective—0
Discrete-Continuous Depth Estimation from a Single Image—0
Bayesian Depth-from-Defocus with Shading Constraints—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