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 11511175 of 2454 papers

TitleStatusHype
3D-SiamMask: Vision-Based Multi-Rotor Aerial-Vehicle Tracking for a Moving ObjectCode0
Learning Phase Mask for Privacy-Preserving Passive Depth Estimation0
Unifying Flow, Stereo and Depth EstimationCode3
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report0
SC-DepthV3: Robust Self-supervised Monocular Depth Estimation for Dynamic ScenesCode2
RCDPT: Radar-Camera fusion Dense Prediction TransformerCode1
Multi-Camera Calibration Free BEV Representation for 3D Object Detection0
Boosting Monocular 3D Object Detection with Object-Centric Auxiliary Depth Supervision0
Matching entropy based disparity estimation from light field0
2T-UNET: A Two-Tower UNet with Depth Clues for Robust Stereo Depth Estimation0
Robust Monocular Localization of Drones by Adapting Domain Maps to Depth Prediction Inaccuracies0
Towards Comprehensive Representation Enhancement in Semantics-guided Self-supervised Monocular Depth Estimation0
Photo-realistic Neural Domain Randomization0
Context-Enhanced Stereo TransformerCode1
High-Resolution Depth Estimation for 360-degree Panoramas through Perspective and Panoramic Depth Images Registration0
CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View CompletionCode2
Hierarchical Normalization for Robust Monocular Depth Estimation0
Event-based Stereo Depth Estimation from Ego-motion using Ray Density FusionCode1
Attention Attention Everywhere: Monocular Depth Prediction with Skip AttentionCode1
MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-aware Video Panoptic Segmentation0
Multi-Task Meta Learning: learn how to adapt to unseen tasksCode0
MonoNeRF: Learning Generalizable NeRFs from Monocular Videos without Camera Pose0
Composite Learning for Robust and Effective Dense Predictions0
U-HRNet: Delving into Improving Semantic Representation of High Resolution Network for Dense PredictionCode0
Improving the Reliability for Confidence Estimation0
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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