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 301–350 of 2454 papers

TitleStatusHype
GroCo: Ground Constraint for Metric Self-Supervised Monocular DepthCode1
DEPTHOR: Depth Enhancement from a Practical Light-Weight dToF Sensor and RGB ImageCode1
Ground-aware Monocular 3D Object Detection for Autonomous DrivingCode1
HDNet: Human Depth Estimation for Multi-Person Camera-Space LocalizationCode1
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepthCode1
Global and Hierarchical Geometry Consistency Priors for Few-shot NeRFs in Indoor ScenesCode1
GLPanoDepth: Global-to-Local Panoramic Depth EstimationCode1
Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP BenchmarkCode1
Collaboration Helps Camera Overtake LiDAR in 3D DetectionCode1
Depth Estimation from Monocular Images and Sparse radar using Deep Ordinal Regression NetworkCode1
GIVT: Generative Infinite-Vocabulary TransformersCode1
Height and Uprightness Invariance for 3D Prediction From a Single ViewCode1
IEBins: Iterative Elastic Bins for Monocular Depth EstimationCode1
InSpaceType: Reconsider Space Type in Indoor Monocular Depth EstimationCode1
Depth Completion using Geometry-Aware EmbeddingCode1
Adaptive Surface Normal Constraint for Depth EstimationCode1
Depth-aware Test-Time Training for Zero-shot Video Object SegmentationCode1
ARAI-MVSNet: A multi-view stereo depth estimation network with adaptive depth range and depth intervalCode1
Depth-aware Volume Attention for Texture-less Stereo MatchingCode1
3DVNet: Multi-View Depth Prediction and Volumetric RefinementCode1
Depth Estimation by Combining Binocular Stereo and Monocular Structured-LightCode1
Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth PredictionCode1
CoDEPS: Online Continual Learning for Depth Estimation and Panoptic SegmentationCode1
3D Visual Illusion Depth EstimationCode1
360MonoDepth: High-Resolution 360° Monocular Depth EstimationCode1
Depth Attention for Robust RGB TrackingCode1
4K-HAZE: A Dehazing Benchmark with 4K Resolution Hazy and Haze-Free ImagesCode1
Depth-Aware Endoscopic Video InpaintingCode1
Gradient-based Uncertainty for Monocular Depth EstimationCode1
Depthformer : Multiscale Vision Transformer For Monocular Depth Estimation With Local Global Information FusionCode1
A Study on Self-Supervised Pretraining for Vision Problems in Gastrointestinal EndoscopyCode1
DepthLab: Real-Time 3D Interaction With Depth Maps for Mobile Augmented RealityCode1
A Study on the Generality of Neural Network Structures for Monocular Depth EstimationCode1
A Practical Stereo Depth System for Smart GlassesCode1
DELTAS: Depth Estimation by Learning Triangulation And densification of Sparse pointsCode1
Geometry Uncertainty Projection Network for Monocular 3D Object DetectionCode1
CL-MVSNet: Unsupervised Multi-View Stereo with Dual-Level Contrastive LearningCode1
Depth and DOF Cues Make A Better Defocus Blur DetectorCode1
Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height EstimationCode1
Detaching and Boosting: Dual Engine for Scale-Invariant Self-Supervised Monocular Depth EstimationCode1
Densely Constrained Depth Estimator for Monocular 3D Object DetectionCode1
Depth estimation from 4D light field videosCode1
Generalized Binary Search Network for Highly-Efficient Multi-View StereoCode1
Dense Depth Estimation from Multiple 360-degree Images Using Virtual DepthCode1
Context-Enhanced Stereo TransformerCode1
Continual Adaptation for Deep StereoCode1
Atlantis: Enabling Underwater Depth Estimation with Stable DiffusionCode1
A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth ImageCode1
360 Depth Estimation in the Wild -- The Depth360 Dataset and the SegFuse NetworkCode1
GeoNet: Geometric Neural Network for Joint Depth and Surface Normal EstimationCode1
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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