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 476–500 of 2454 papers

Title	Date	Tasks	Status	Hype
EndoMUST: Monocular Depth Estimation for Robotic Endoscopy via End-to-end Multi-step Self-supervised Training	Jun 19, 2025	Depth EstimationIntrinsic Image Decomposition	CodeCode Available	1
Dense Depth Estimation from Multiple 360-degree Images Using Virtual Depth	Dec 30, 2021	Depth EstimationTranslation	CodeCode Available	1
Overcoming the Distance Estimation Bottleneck in Estimating Animal Abundance with Camera Traps	May 1, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
Adaptive confidence thresholding for monocular depth estimation	Sep 27, 2020	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
EndoOmni: Zero-Shot Cross-Dataset Depth Estimation in Endoscopy by Robust Self-Learning from Noisy Labels	Sep 9, 2024	Depth EstimationSelf-Learning	CodeCode Available	1
Categorical Depth Distribution Network for Monocular 3D Object Detection	Mar 1, 2021	3D Object DetectionAutonomous Vehicles	CodeCode Available	1
Efficient Depth Estimation for Unstable Stereo Camera Systems on AR Glasses	Nov 15, 2024	Depth EstimationMulti-Task Learning	CodeCode Available	1
Efficient Neural Radiance Fields for Interactive Free-viewpoint Video	Dec 2, 2021	Depth EstimationDepth Prediction	CodeCode Available	1
EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction	Sep 30, 2024	Depth EstimationDepth Prediction	CodeCode Available	1
ENRICH: Multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetry	Apr 1, 2023	3D Reconstruction3D Scene Reconstruction	CodeCode Available	1
Photon-Starved Scene Inference using Single Photon Cameras	Jul 23, 2021	Depth Estimationimage-classification	CodeCode Available	1
Blur aware metric depth estimation with multi-focus plenoptic cameras	Aug 8, 2023	Depth EstimationDisparity Estimation	CodeCode Available	1
Depth and DOF Cues Make A Better Defocus Blur Detector	Jun 20, 2023	Defocus Blur DetectionDepth Estimation	CodeCode Available	1
A Confidence-based Iterative Solver of Depths and Surface Normals for Deep Multi-view Stereo	Jan 19, 2022	Depth Estimation	CodeCode Available	1
Efficient Attention: Attention with Linear Complexities	Dec 4, 2018	Depth EstimationExtractive Text Summarization	CodeCode Available	1
Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation	Aug 8, 2024	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
BodySLAM: A Generalized Monocular Visual SLAM Framework for Surgical Applications	Aug 6, 2024	3D ReconstructionDepth Estimation	CodeCode Available	1
Fully Self-Supervised Depth Estimation from Defocus Clue	Mar 19, 2023	Depth Estimation	CodeCode Available	1
Can Language Understand Depth?	Jul 3, 2022	Depth Estimationimage-classification	CodeCode Available	1
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenes	Oct 12, 2023	Autonomous DrivingDepth Estimation	CodeCode Available	1
Dusk Till Dawn: Self-supervised Nighttime Stereo Depth Estimation using Visual Foundation Models	May 18, 2024	Depth EstimationStereo Depth Estimation	CodeCode Available	1
Predict to Detect: Prediction-guided 3D Object Detection using Sequential Images	Jun 14, 2023	3D Object DetectionAutonomous Driving	CodeCode Available	1
Dyna-DM: Dynamic Object-aware Self-supervised Monocular Depth Maps	Jun 8, 2022	Autonomous DrivingDepth Estimation	CodeCode Available	1
Depth-aware Test-Time Training for Zero-shot Video Object Segmentation	Mar 7, 2024	Depth EstimationDepth Prediction	CodeCode Available	1
An intelligent modular real-time vision-based system for environment perception	Mar 29, 2023	Depth EstimationLane Detection	CodeCode Available	1

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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