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 151–200 of 2454 papers

TitleStatusHype
Sparse Auxiliary Networks for Unified Monocular Depth Prediction and CompletionCode2
Virtual Normal: Enforcing Geometric Constraints for Accurate and Robust Depth PredictionCode2
Learning to Recover 3D Scene Shape from a Single ImageCode2
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motionCode2
Consistent Video Depth EstimationCode2
Atlas: End-to-End 3D Scene Reconstruction from Posed ImagesCode2
Semantically-Guided Representation Learning for Self-Supervised Monocular DepthCode2
Enforcing geometric constraints of virtual normal for depth predictionCode2
Multi-Task Learning as Multi-Objective OptimizationCode2
Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural NetworksCode2
MonoMVSNet: Monocular Priors Guided Multi-View Stereo NetworkCode1
VOTE: Vision-Language-Action Optimization with Trajectory Ensemble VotingCode1
EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised TrainingCode1
Self-Supervised Enhancement for Depth from a Lightweight ToF Sensor with Monocular ImagesCode1
TR2M: Transferring Monocular Relative Depth to Metric Depth with Language Descriptions and Scale-Oriented ContrastCode1
Multi-Label Stereo Matching for Transparent Scene Depth EstimationCode1
3D Visual Illusion Depth EstimationCode1
Always Clear Depth: Robust Monocular Depth Estimation under Adverse WeatherCode1
Edge-Enabled VIO with Long-Tracked Features for High-Accuracy Low-Altitude IoT NavigationCode1
Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual PerceptionCode1
DEPTHOR: Depth Enhancement from a Practical Light-Weight dToF Sensor and RGB ImageCode1
Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation ModelCode1
Deep Depth Estimation from Thermal Image: Dataset, Benchmark, and ChallengesCode1
Synthetic-to-Real Self-supervised Robust Depth Estimation via Learning with Motion and Structure PriorsCode1
QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the EdgeCode1
Simulating Dual-Pixel Images From Ray Tracing For Depth EstimationCode1
A Light and Tuning-free Method for Simulating Camera Motion in Video GenerationCode1
Bridging Spectral-wise and Multi-spectral Depth Estimation via Geometry-guided Contrastive LearningCode1
Monocular Depth Estimation and Segmentation for Transparent Object with Iterative Semantic and Geometric FusionCode1
CDGS: Confidence-Aware Depth Regularization for 3D Gaussian SplattingCode1
HSPFormer: Hierarchical Spatial Perception Transformer for Semantic SegmentationCode1
RePoseD: Efficient Relative Pose Estimation With Known Depth InformationCode1
OmniStereo: Real-time Omnidireactional Depth Estimation with Multiview Fisheye CamerasCode1
LiRCDepth: Lightweight Radar-Camera Depth Estimation via Knowledge Distillation and Uncertainty GuidanceCode1
ViPOcc: Leveraging Visual Priors from Vision Foundation Models for Single-View 3D Occupancy PredictionCode1
Helvipad: A Real-World Dataset for Omnidirectional Stereo Depth EstimationCode1
OceanLens: An Adaptive Backscatter and Edge Correction using Deep Learning Model for Enhanced Underwater ImagingCode1
Efficient Depth Estimation for Unstable Stereo Camera Systems on AR GlassesCode1
MVSDet: Multi-View Indoor 3D Object Detection via Efficient Plane SweepsCode1
Unlocking Comics: The AI4VA Dataset for Visual UnderstandingCode1
Depth Attention for Robust RGB TrackingCode1
Thermal Chameleon: Task-Adaptive Tone-mapping for Radiometric Thermal-Infrared imagesCode1
DCDepth: Progressive Monocular Depth Estimation in Discrete Cosine DomainCode1
EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth PredictionCode1
Self-Distilled Depth Refinement with Noisy Poisson FusionCode1
GroCo: Ground Constraint for Metric Self-Supervised Monocular DepthCode1
FisheyeDepth: A Real Scale Self-Supervised Depth Estimation Model for Fisheye CameraCode1
LED: Light Enhanced Depth Estimation at NightCode1
EndoOmni: Zero-Shot Cross-Dataset Depth Estimation in Endoscopy by Robust Self-Learning from Noisy LabelsCode1
GET-UP: GEomeTric-aware Depth Estimation with Radar Points UPsamplingCode1
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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