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

Showing 251275 of 2454 papers

TitleStatusHype
Camera-based 3D Semantic Scene Completion with Sparse Guidance NetworkCode1
Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRICode1
BEVNeXt: Reviving Dense BEV Frameworks for 3D Object DetectionCode1
GIVT: Generative Infinite-Vocabulary TransformersCode1
Deeper into Self-Supervised Monocular Indoor Depth EstimationCode1
Sparse Beats Dense: Rethinking Supervision in Radar-Camera Depth CompletionCode1
Transferring to Real-World Layouts: A Depth-aware Framework for Scene AdaptationCode1
RENI++ A Rotation-Equivariant, Scale-Invariant, Natural Illumination PriorCode1
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
TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene UnderstandingCode1
Bridging the Gap between Multi-focus and Multi-modal: A Focused Integration Framework for Multi-modal Image FusionCode1
Metrically Scaled Monocular Depth Estimation through Sparse Priors for Underwater RobotsCode1
G2-MonoDepth: A General Framework of Generalized Depth Inference from Monocular RGB+X DataCode1
Mobile AR Depth Estimation: Challenges & Prospects -- Extended VersionCode1
ConsistNet: Enforcing 3D Consistency for Multi-view Images DiffusionCode1
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenesCode1
WeatherDepth: Curriculum Contrastive Learning for Self-Supervised Depth Estimation under Adverse Weather ConditionsCode1
Multi-task Learning with 3D-Aware RegularizationCode1
Text-image Alignment for Diffusion-based PerceptionCode1
Finite Scalar Quantization: VQ-VAE Made SimpleCode1
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor ScenesCode1
IEBins: Iterative Elastic Bins for Monocular Depth EstimationCode1
InSpaceType: Reconsider Space Type in Indoor Monocular Depth EstimationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1OmniDepthRMSE0.62Unverified
2SphereDepthRMSE0.45Unverified
3Jin et al.RMSE0.42Unverified
4BiFuse with fusionRMSE0.41Unverified
5HoHoNet (ResNet-101)RMSE0.38Unverified
6PanoDepthRMSE0.37Unverified
7BiFuse++RMSE0.37Unverified
8UniFuse with fusionRMSE0.37Unverified
9DisConvRMSE0.37Unverified
10SliceNetRMSE0.37Unverified
#ModelMetricClaimedVerifiedStatus
1A2JmAP8.61Unverified
2PAD-NetRMS0.79Unverified
3MS-CRFRMS0.59Unverified
4DORNRMS0.51Unverified
5FreeformRMS0.43Unverified
6Optimized, freeformRMS0.43Unverified
7VNLRMS0.42Unverified
8BTSRMS0.41Unverified
9TransDepth (AGD+ ViT)RMS0.37Unverified
10AdaBinsRMS0.36Unverified
#ModelMetricClaimedVerifiedStatus
1T2NetAbs Rel0.35Unverified
2MIDASAbs Rel0.31Unverified
3Bhattacharjee et al.Abs Rel0.25Unverified
#ModelMetricClaimedVerifiedStatus
1T2NetAbs Rel0.49Unverified
2MIDASAbs Rel0.42Unverified
3Bhattacharjee et al.Abs Rel0.38Unverified
#ModelMetricClaimedVerifiedStatus
1LeReSabsolute relative error0.1Unverified
2DELTASabsolute relative error0.09Unverified
3Distill Any Depthabsolute relative error0.04Unverified
#ModelMetricClaimedVerifiedStatus
1SDC-DepthRMSE6.92Unverified
2SwinMTLRMSE6.35Unverified
#ModelMetricClaimedVerifiedStatus
1AIP-BrownDelta < 1.250.36Unverified
2LeResDelta < 1.250.23Unverified
#ModelMetricClaimedVerifiedStatus
1H-Net (Ours)Absolute relative error (AbsRel)0.09Unverified
2H-Net (Ours) Full EigenAbsolute relative error (AbsRel)0.08Unverified
#ModelMetricClaimedVerifiedStatus
1GLPDepthDelta < 1.250.43Unverified
2SRDINET (Model A)Delta < 1.250.4Unverified
#ModelMetricClaimedVerifiedStatus
1Atlas (finetuned)RMSE0.17Unverified
2Atlas (plain)RMSE0.17Unverified
#ModelMetricClaimedVerifiedStatus
1LFattNetBadPix(0.01)17.23Unverified
#ModelMetricClaimedVerifiedStatus
1LightDepthNumber of parameters (M)42.6Unverified
#ModelMetricClaimedVerifiedStatus
1UniFuseAbs Rel0.11Unverified
#ModelMetricClaimedVerifiedStatus
1X-TC (Cross-Task Consistency)L1 error1.63Unverified