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 1701–1750 of 2454 papers

TitleStatusHype
Consistent Depth Prediction under Various Illuminations using Dilated Cross Attention—0
Depth Refinement for Improved Stereo Reconstruction—0
VirtualCube: An Immersive 3D Video Communication System—0
Sparse Depth Completion with Semantic Mesh Deformation Optimization—0
Towards Full-to-Empty Room Generation with Structure-Aware Feature Encoding and Soft Semantic Region-Adaptive Normalization—0
Wild ToFu: Improving Range and Quality of Indirect Time-of-Flight Depth with RGB Fusion in Challenging Environments—0
Input-level Inductive Biases for 3D Reconstruction—0
3D Hierarchical Refinement and Augmentation for Unsupervised Learning of Depth and Pose from Monocular Video—0
Self-Supervised Camera Self-Calibration from Video—0
Machine Learning Subsystem for Autonomous Collision Avoidance on a small UAS with Embedded GPU—0
Dimensions of Motion: Monocular Prediction through Flow Subspaces—0
FaSS-MVS -- Fast Multi-View Stereo with Surface-Aware Semi-Global Matching from UAV-borne Monocular Imagery—0
NeRFReN: Neural Radiance Fields with Reflections—0
Robust Object Detection with Multi-input Multi-output Faster R-CNN—0
SM3D: Simultaneous Monocular Mapping and 3D Detection—0
Learning Generalized Visual Odometry Using Position-Aware Optical Flow and Geometric Bundle Adjustment—0
ColDE: A Depth Estimation Framework for Colonoscopy Reconstruction—0
LOLNeRF: Learn from One Look—0
Temporally Consistent Online Depth Estimation in Dynamic Scenes—0
Towards Comprehensive Monocular Depth Estimation: Multiple Heads Are Better Than One—0
Error Diagnosis of Deep Monocular Depth Estimation Models—0
Residual-Guided Learning Representation for Self-Supervised Monocular Depth Estimation—0
Online Mutual Adaptation of Deep Depth Prediction and Visual SLAM—0
Towards Panoptic 3D Parsing for Single Image in the Wild—0
Deep-Learning-Based Single-Image Height Reconstruction from Very-High-Resolution SAR Intensity Data—0
CamLessMonoDepth: Monocular Depth Estimation with Unknown Camera Parameters—0
X-Distill: Improving Self-Supervised Monocular Depth via Cross-Task Distillation—0
Pseudo Supervised Monocular Depth Estimation with Teacher-Student Network—0
Self-Supervised Monocular Scene Decomposition and Depth Estimation—0
Event Guided Depth Sensing—0
Depth360: Self-supervised Learning for Monocular Depth Estimation using Learnable Camera Distortion Model—0
Attention meets Geometry: Geometry Guided Spatial-Temporal Attention for Consistent Self-Supervised Monocular Depth Estimation—0
Semi-supervised Multi-task Learning for Semantics and Depth—0
Task-Driven Deep Image Enhancement Network for Autonomous Driving in Bad Weather—0
Non-local Recurrent Regularization Networks for Multi-view Stereo—0
Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation—0
Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic SegmentationCode0
Monocular Depth Estimation with Sharp Boundary—0
Modality-Guided Subnetwork for Salient Object Detection—0
Stereo Dense Scene Reconstruction and Accurate Localization for Learning-Based Navigation of Laparoscope in Minimally Invasive Surgery—0
DoubleStar: Long-Range Attack Towards Depth Estimation based Obstacle Avoidance in Autonomous Systems—0
See Yourself in Others: Attending Multiple Tasks for Own Failure Detection—0
Echo-Reconstruction: Audio-Augmented 3D Scene Reconstruction—0
D-Net: A Generalised and Optimised Deep Network for Monocular Depth EstimationCode0
Contrastive Mutual Information Maximization for Binary Neural Networks—0
Wavelet Feature Maps Compression for Low Bandwidth Convolutional Neural Networks—0
f-Cal: Calibrated aleatoric uncertainty estimation from neural networks for robot perception—0
Adversarial Domain Feature Adaptation for Bronchoscopic Depth Estimation—0
Weakly-Supervised Monocular Depth Estimationwith Resolution-Mismatched Data—0
Scale-aware direct monocular odometry—0
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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