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 701750 of 2454 papers

TitleStatusHype
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenesCode1
Manydepth2: Motion-Aware Self-Supervised Multi-Frame Monocular Depth Estimation in Dynamic ScenesCode1
Unsupervised Monocular Depth Estimation with Left-Right ConsistencyCode1
A Benchmark and a Baseline for Robust Multi-view Depth EstimationCode1
ModaLink: Unifying Modalities for Efficient Image-to-PointCloud Place RecognitionCode1
Edge-aware Bidirectional Diffusion for Dense Depth Estimation from Light FieldsCode1
Region Deformer Networks for Unsupervised Depth Estimation from Unconstrained Monocular VideosCode0
Recurrent Neural Network for (Un-)supervised Learning of Monocular VideoVisual Odometry and DepthCode0
Reconfigurable Intelligent Surface Aided Wireless Sensing for Scene Depth EstimationCode0
Recurrent Scene Parsing with Perspective Understanding in the LoopCode0
Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric AnnotationsCode0
3D Ken Burns Effect from a Single ImageCode0
Real Time Dense Depth Estimation by Fusing Stereo with Sparse Depth MeasurementsCode0
An Adversarial Generative Network Designed for High-Resolution Monocular Depth Estimation from 2D HiRISE Images of MarsCode0
Rain Removal from Light Field Images with 4D Convolution and Multi-scale Gaussian ProcessCode0
RealNet: Combining Optimized Object Detection with Information Fusion Depth Estimation Co-Design Method on IoTCode0
Pyramid Multi-view Stereo Net with Self-adaptive View AggregationCode0
RadarRGBD A Multi-Sensor Fusion Dataset for Perception with RGB-D and mmWave RadarCode0
Density-Regression: Efficient and Distance-Aware Deep Regressor for Uncertainty Estimation under Distribution ShiftsCode0
Dense Scene Reconstruction from Light-Field Images Affected by Rolling ShutterCode0
Pseudo RGB-D for Self-Improving Monocular SLAM and Depth PredictionCode0
Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous DrivingCode0
Progressive Fusion for Unsupervised Binocular Depth Estimation using Cycled NetworksCode0
PU-Ray: Domain-Independent Point Cloud Upsampling via Ray Marching on Neural Implicit SurfaceCode0
Pose Constraints for Consistent Self-supervised Monocular Depth and Ego-motionCode0
Dense 2D-3D Indoor Prediction with Sound via Aligned Cross-Modal DistillationCode0
Bi-Real Net: Binarizing Deep Network Towards Real-Network PerformanceCode0
Point Spread Function Estimation of DefocusCode0
Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic SegmentationCode0
Precision Aquaculture: An Integrated Computer Vision and IoT Approach for Optimized Tilapia FeedingCode0
Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth PredictionCode0
Dehazing Cost Volume for Deep Multi-view Stereo in Scattering Media with Airlight and Scattering Coefficient EstimationCode0
PlaneNet: Piece-wise Planar Reconstruction from a Single RGB ImageCode0
Plug-and-Play: Improve Depth Estimation via Sparse Data PropagationCode0
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional ArchitectureCode0
Pixel-Accurate Depth Evaluation in Realistic Driving ScenariosCode0
Deep Vision-Based Framework for Coastal Flood Prediction Under Climate Change Impacts and Shoreline AdaptationsCode0
PID4LaTe: a physics-informed deep learning model for lake multi-depth temperature predictionCode0
PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation with Neural Positional Encoding and Distilled Matting LossCode0
DeepV2D: Video to Depth with Differentiable Structure from MotionCode0
DeepTAM: Deep Tracking and MappingCode0
Planar Prior Assisted PatchMatch Multi-View StereoCode0
PhaseCam3D — Learning Phase Masks for Passive Single View Depth EstimationCode0
BEVScope: Enhancing Self-Supervised Depth Estimation Leveraging Bird's-Eye-View in Dynamic ScenariosCode0
Parse Geometry from a Line: Monocular Depth Estimation with Partial Laser ObservationCode0
Panoramic Depth Estimation via Supervised and Unsupervised Learning in Indoor ScenesCode0
Deep Neighbor Layer Aggregation for Lightweight Self-Supervised Monocular Depth EstimationCode0
P3P: Pseudo-3D Pre-training for Scaling 3D Voxel-based Masked AutoencodersCode0
DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color ImageCode0
Achievement-Based Training Progress Balancing for Multi-Task LearningCode0
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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