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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 926–950 of 2454 papers

Title	Date	Tasks	Status	Score
Monocular Depth Decomposition of Semi-Transparent Volume Renderings	Jun 27, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	5
Monocular Depth Estimation with Hierarchical Fusion of Dilated CNNs and Soft-Weighted-Sum Inference	Aug 2, 2017	Depth EstimationMonocular Depth Estimation	CodeCode Available	5
Multi-Modal Attention Networks for Enhanced Segmentation and Depth Estimation of Subsurface Defects in Pulse Thermography	Jan 17, 2025	Data AugmentationDepth Estimation	CodeCode Available	5
MGNiceNet: Unified Monocular Geometric Scene Understanding	Nov 18, 2024	Autonomous DrivingAutonomous Vehicles	CodeCode Available	5
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression	Aug 17, 2023	Age EstimationDepth Aleatoric Uncertainty Estimation	CodeCode Available	5
MetricGold: Leveraging Text-To-Image Latent Diffusion Models for Metric Depth Estimation	Nov 16, 2024	Depth EstimationMonocular Depth Estimation	CodeCode Available	5
CNN-SVO: Improving the Mapping in Semi-Direct Visual Odometry Using Single-Image Depth Prediction	Oct 1, 2018	Depth EstimationDepth Prediction	CodeCode Available	5
CNN-SLAM: Real-time dense monocular SLAM with learned depth prediction	Apr 11, 2017	Depth EstimationDepth Prediction	CodeCode Available	5
METER: a mobile vision transformer architecture for monocular depth estimation	Mar 13, 2024	CPUData Augmentation	CodeCode Available	5
A Practical Calibration Method for RGB Micro-Grid Polarimetric Cameras	Aug 29, 2022	Depth Estimation	CodeCode Available	5
Maximum Likelihood Uncertainty Estimation: Robustness to Outliers	Feb 3, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	5
Digging Into Self-Supervised Monocular Depth Estimation	Oct 1, 2019	Depth EstimationMonocular Depth Estimation	CodeCode Available	5
Long-Tailed 3D Detection via Multi-Modal Fusion	Dec 18, 2023	3D Object DetectionAutonomous Vehicles	CodeCode Available	5
Mapped Convolutions	Jun 26, 2019	Depth Estimation	CodeCode Available	5
A Physical Model-Guided Framework for Underwater Image Enhancement and Depth Estimation	Jul 5, 2024	Depth EstimationImage Enhancement	CodeCode Available	5
L-MAGIC: Language Model Assisted Generation of Images with Coherence	Jun 3, 2024	Depth EstimationLanguage Modeling	CodeCode Available	5
ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation	Oct 6, 2019	3D geometryDepth Completion	CodeCode Available	5
Light Field Depth Estimation via Stitched Epipolar Plane Images	Mar 29, 2022	Depth Estimation	CodeCode Available	5
Lightweight Monocular Depth Estimation Model by Joint End-to-End Filter pruning	May 13, 2019	Depth EstimationMonocular Depth Estimation	CodeCode Available	5
Leveraging 6DoF Pose Foundation Models For Mapping Marine Sediment Burial	Jun 12, 2025	Depth Estimation	CodeCode Available	5
Adaptive LiDAR Sampling and Depth Completion using Ensemble Variance	Jul 27, 2020	Autonomous VehiclesDepth Completion	CodeCode Available	5
DFR: Depth from Rotation by Uncalibrated Image Rectification with Latitudinal Motion Assumption	Jul 11, 2023	Depth Estimation	CodeCode Available	5
Learn Stereo, Infer Mono: Siamese Networks for Self-Supervised, Monocular, Depth Estimation	May 1, 2019	Depth EstimationMonocular Depth Estimation	CodeCode Available	5
Task-Aware Active Learning for Endoscopic Image Analysis	Apr 7, 2022	Active LearningDepth Estimation	CodeCode Available	5
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency	Sep 5, 2018	Depth And Camera MotionDepth Estimation	CodeCode Available	5

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All datasets Stanford2D3D Panoramic NYU-Depth V2 DCM eBDtheque ScanNetV2 Cityscapes test DIODE KITTI 2015 Mars DTM Estimation ScanNet 4D Light Field Dataset KITTI Eigen split

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	OmniDepth	RMSE	0.62	—	Unverified
2	SphereDepth	RMSE	0.45	—	Unverified
3	Jin et al.	RMSE	0.42	—	Unverified
4	BiFuse with fusion	RMSE	0.41	—	Unverified
5	HoHoNet (ResNet-101)	RMSE	0.38	—	Unverified
6	PanoDepth	RMSE	0.37	—	Unverified
7	BiFuse++	RMSE	0.37	—	Unverified
8	UniFuse with fusion	RMSE	0.37	—	Unverified
9	DisConv	RMSE	0.37	—	Unverified
10	SliceNet	RMSE	0.37	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	A2J	mAP	8.61	—	Unverified
2	PAD-Net	RMS	0.79	—	Unverified
3	MS-CRF	RMS	0.59	—	Unverified
4	DORN	RMS	0.51	—	Unverified
5	Freeform	RMS	0.43	—	Unverified
6	Optimized, freeform	RMS	0.43	—	Unverified
7	VNL	RMS	0.42	—	Unverified
8	BTS	RMS	0.41	—	Unverified
9	TransDepth (AGD+ ViT)	RMS	0.37	—	Unverified
10	AdaBins	RMS	0.36	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	T2Net	Abs Rel	0.35	—	Unverified
2	MIDAS	Abs Rel	0.31	—	Unverified
3	Bhattacharjee et al.	Abs Rel	0.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	T2Net	Abs Rel	0.49	—	Unverified
2	MIDAS	Abs Rel	0.42	—	Unverified
3	Bhattacharjee et al.	Abs Rel	0.38	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LeReS	absolute relative error	0.1	—	Unverified
2	DELTAS	absolute relative error	0.09	—	Unverified
3	Distill Any Depth	absolute relative error	0.04	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SDC-Depth	RMSE	6.92	—	Unverified
2	SwinMTL	RMSE	6.35	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AIP-Brown	Delta < 1.25	0.36	—	Unverified
2	LeRes	Delta < 1.25	0.23	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	H-Net (Ours)	Absolute relative error (AbsRel)	0.09	—	Unverified
2	H-Net (Ours) Full Eigen	Absolute relative error (AbsRel)	0.08	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	GLPDepth	Delta < 1.25	0.43	—	Unverified
2	SRDINET (Model A)	Delta < 1.25	0.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Atlas (finetuned)	RMSE	0.17	—	Unverified
2	Atlas (plain)	RMSE	0.17	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LFattNet	BadPix(0.01)	17.23	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	LightDepth	Number of parameters (M)	42.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UniFuse	Abs Rel	0.11	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	X-TC (Cross-Task Consistency)	L1 error	1.63	—	Unverified