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 501–550 of 2454 papers

TitleStatusHype
Depth-Aware Endoscopic Video InpaintingCode1
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple EnvironmentsCode1
Frequency-Aware Self-Supervised Monocular Depth EstimationCode1
Depth-aware Volume Attention for Texture-less Stereo MatchingCode1
Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World AttacksCode1
Self-Supervised Depth Estimation in Laparoscopic Image using 3D Geometric ConsistencyCode1
Fully Self-Supervised Depth Estimation from Defocus ClueCode1
Depth Completion using Geometry-Aware EmbeddingCode1
Self-Supervised Learning for Monocular Depth Estimation from Aerial ImageryCode1
DepthLab: Real-Time 3D Interaction With Depth Maps for Mobile Augmented RealityCode1
An intelligent modular real-time vision-based system for environment perceptionCode1
Focus on defocus: bridging the synthetic to real domain gap for depth estimationCode1
Camera-based 3D Semantic Scene Completion with Sparse Guidance NetworkCode1
AdaBins: Depth Estimation using Adaptive BinsCode1
Depth Map Decomposition for Monocular Depth EstimationCode1
Forget About the LiDAR: Self-Supervised Depth Estimators with MED Probability VolumesCode1
G2-MonoDepth: A General Framework of Generalized Depth Inference from Monocular RGB+X DataCode1
Calibrating Panoramic Depth Estimation for Practical Localization and MappingCode1
CaFNet: A Confidence-Driven Framework for Radar Camera Depth EstimationCode1
3DPPE: 3D Point Positional Encoding for Multi-Camera 3D Object Detection TransformersCode1
Flare-Free Vision: Empowering Uformer with Depth InsightsCode1
FlipNeRF: Flipped Reflection Rays for Few-shot Novel View SynthesisCode1
Finite Scalar Quantization: VQ-VAE Made SimpleCode1
Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth EstimationCode1
FisheyeDepth: A Real Scale Self-Supervised Depth Estimation Model for Fisheye CameraCode1
FDCT: Fast Depth Completion for Transparent ObjectsCode1
Feature-metric Loss for Self-supervised Learning of Depth and EgomotionCode1
RePoseD: Efficient Relative Pose Estimation With Known Depth InformationCode1
FLSea: Underwater Visual-Inertial and Stereo-Vision Forward-Looking DatasetsCode1
GAM-Depth: Self-Supervised Indoor Depth Estimation Leveraging a Gradient-Aware Mask and Semantic ConstraintsCode1
Excavating the Potential Capacity of Self-Supervised Monocular Depth EstimationCode1
Estimating Image Depth in the Comics DomainCode1
Event-based Stereo Depth Estimation from Ego-motion using Ray Density FusionCode1
Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuningCode1
ENRICH: Multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetryCode1
Bridging Unsupervised and Supervised Depth from Focus via All-in-Focus SupervisionCode1
EPI-based Oriented Relation Networks for Light Field Depth EstimationCode1
Energy-Efficient Adaptive 3D SensingCode1
Bridging the Gap between Multi-focus and Multi-modal: A Focused Integration Framework for Multi-modal Image FusionCode1
ES-Net: An Efficient Stereo Matching NetworkCode1
EvGGS: A Collaborative Learning Framework for Event-based Generalizable Gaussian SplattingCode1
EVP: Enhanced Visual Perception using Inverse Multi-Attentive Feature Refinement and Regularized Image-Text AlignmentCode1
Active Perception with A Monocular Camera for Multiscopic VisionCode1
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary CellsCode1
Exploring Sparse Visual Prompt for Domain Adaptive Dense PredictionCode1
EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth PredictionCode1
EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised TrainingCode1
Depthformer : Multiscale Vision Transformer For Monocular Depth Estimation With Local Global Information FusionCode1
Efficient Neural Radiance Fields for Interactive Free-viewpoint VideoCode1
Efficient Depth Estimation for Unstable Stereo Camera Systems on AR GlassesCode1
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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