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 12511300 of 2454 papers

TitleStatusHype
Flexible Depth Completion for Sparse and Varying Point Densities0
Coherence As Texture - Passive Textureless 3D Reconstruction by Self-interference0
Diffusion Handles Enabling 3D Edits for Diffusion Models by Lifting Activations to 3D0
Lift-Attend-Splat: Bird's-eye-view camera-lidar fusion using transformers0
Zero-Shot Metric Depth with a Field-of-View Conditioned Diffusion Model0
PPEA-Depth: Progressive Parameter-Efficient Adaptation for Self-Supervised Monocular Depth Estimation0
NeRF-VO: Real-Time Sparse Visual Odometry with Neural Radiance Fields0
DDOS: The Drone Depth and Obstacle Segmentation Dataset0
Long-Tailed 3D Detection via Multi-Modal FusionCode0
From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth Estimation of Dynamic Objects with Ground Contact Prior0
ReCoRe: Regularized Contrastive Representation Learning of World Model0
Text2Immersion: Generative Immersive Scene with 3D Gaussians0
Instance-aware Multi-Camera 3D Object Detection with Structural Priors Mining and Self-Boosting Learning0
Mitigating Perspective Distortion-induced Shape Ambiguity in Image Crops0
GenDepth: Generalizing Monocular Depth Estimation for Arbitrary Camera Parameters via Ground Plane Embedding0
Fine Dense Alignment of Image Bursts through Camera Pose and Depth Estimation0
Camera Height Doesn't Change: Unsupervised Training for Metric Monocular Road-Scene Depth Estimation0
Artificial Neural Network for Estimation of Physical Parameters of Sea Water using LiDAR Waveforms0
Diffusion Handles: Enabling 3D Edits for Diffusion Models by Lifting Activations to 3D0
Enhancing Diffusion Models with 3D Perspective Geometry Constraints0
Multi-task learning with cross-task consistency for improved depth estimation in colonoscopy0
UC-NeRF: Neural Radiance Field for Under-Calibrated Multi-view Cameras in Autonomous Driving0
DGNR: Density-Guided Neural Point Rendering of Large Driving Scenes0
WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space0
Camera-Independent Single Image Depth Estimation from Defocus BlurCode0
ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches0
Depth Insight -- Contribution of Different Features to Indoor Single-image Depth Estimation0
Why Autonomous Vehicles Are Not Ready Yet: A Multi-Disciplinary Review of Problems, Attempted Solutions, and Future Directions0
Learning based Deep Disentangling Light Field Reconstruction and Disparity Estimation Application0
DeepMetricEye: Metric Depth Estimation in Periocular VR Imagery0
PolyMaX: General Dense Prediction with Mask Transformer0
Learning Robust Multi-Scale Representation for Neural Radiance Fields from Unposed Images0
Leveraging a realistic synthetic database to learn Shape-from-Shading for estimating the colon depth in colonoscopy images0
Analysis of NaN Divergence in Training Monocular Depth Estimation Model0
Continual Learning of Unsupervised Monocular Depth from VideosCode0
Learning to Adapt CLIP for Few-Shot Monocular Depth Estimation0
Joint Depth Prediction and Semantic Segmentation with Multi-View SAM0
Dynamo-Depth: Fixing Unsupervised Depth Estimation for Dynamical Scenes0
Deep Imbalanced Regression via Hierarchical Classification Adjustment0
Learning depth from monocular video sequences0
Towards Explainability in Monocular Depth Estimation0
A Quantitative Evaluation of Dense 3D Reconstruction of Sinus Anatomy from Monocular Endoscopic Video0
Guidance system for Visually Impaired Persons using Deep Learning and Optical flow0
CLIP meets Model Zoo Experts: Pseudo-Supervision for Visual Enhancement0
DPF-Nutrition: Food Nutrition Estimation via Depth Prediction and Fusion0
Towards Abdominal 3-D Scene Rendering from Laparoscopy Surgical Videos using NeRFs0
FocDepthFormer: Transformer with latent LSTM for Depth Estimation from Focal Stack0
PU-Ray: Domain-Independent Point Cloud Upsampling via Ray Marching on Neural Implicit SurfaceCode0
Multi-Task Learning-Enabled Automatic Vessel Draft Reading for Intelligent Maritime Surveillance0
JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling0
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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