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 651–675 of 2454 papers

Title	Date	Tasks	Status	Hype	Score
360MonoDepth: High-Resolution 360° Monocular Depth Estimation	Nov 30, 2021	2kDepth Estimation	CodeCode Available	1	5
Depth estimation from 4D light field videos	Dec 5, 2020	Depth EstimationDisparity Estimation	CodeCode Available	1	5
DELTAS: Depth Estimation by Learning Triangulation And densification of Sparse points	Mar 19, 2020	Depth EstimationInterest Point Detection	CodeCode Available	1	5
Introduction	Apr 1, 2012	Depth Estimation	CodeCode Available	1	5
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenes	Oct 12, 2023	Autonomous DrivingDepth Estimation	CodeCode Available	1	5
PanopticDepth: A Unified Framework for Depth-aware Panoptic Segmentation	Jun 1, 2022	Depth EstimationDepth Prediction	CodeCode Available	1	5
Joint Learning of Salient Object Detection, Depth Estimation and Contour Extraction	Mar 9, 2022	Depth Estimationobject-detection	CodeCode Available	1	5
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation	Jun 27, 2022	Autonomous DrivingBird's-Eye View Semantic Segmentation	CodeCode Available	1	5
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation	Apr 28, 2021	Depth EstimationDepth Prediction	CodeCode Available	1	5
JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes	Jul 16, 2022	Autonomous DrivingDepth Estimation	CodeCode Available	1	5
Depth Estimation by Combining Binocular Stereo and Monocular Structured-Light	Mar 20, 2022	Depth EstimationStereo Matching	CodeCode Available	1	5
Edge-Enabled VIO with Long-Tracked Features for High-Accuracy Low-Altitude IoT Navigation	May 10, 2025	Depth EstimationDepth Prediction	CodeCode Available	1	5
DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and Tracking	Mar 29, 2023	3D Object DetectionDepth Estimation	CodeCode Available	1	5
A Study on Self-Supervised Pretraining for Vision Problems in Gastrointestinal Endoscopy	Jan 11, 2024	Depth EstimationLandmark Recognition	CodeCode Available	1	5
DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium	Apr 7, 2023	Depth EstimationDepth Prediction	CodeCode Available	1	5
Learnable Differencing Center for Nighttime Depth Perception	Jun 26, 2023	Depth CompletionDepth Estimation	CodeCode Available	1	5
A Study on the Generality of Neural Network Structures for Monocular Depth Estimation	Jan 9, 2023	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
Learning Deformable Hypothesis Sampling for Accurate PatchMatch Multi-View Stereo	Dec 26, 2023	Depth EstimationDepth Prediction	CodeCode Available	1	5
Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image Translation	Sep 4, 2021	DecoderDepth Estimation	CodeCode Available	1	5
Learning a Geometric Representation for Data-Efficient Depth Estimation via Gradient Field and Contrastive Loss	Nov 6, 2020	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
Dusk Till Dawn: Self-supervised Nighttime Stereo Depth Estimation using Visual Foundation Models	May 18, 2024	Depth EstimationStereo Depth Estimation	CodeCode Available	1	5
Improving Deep Regression with Ordinal Entropy	Jan 21, 2023	ClassificationCrowd Counting	CodeCode Available	1	5
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume	Aug 14, 2023	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
Learning Ego 3D Representation as Ray Tracing	Jun 8, 2022	3D Object DetectionBEV Segmentation	CodeCode Available	1	5
Boosting Omnidirectional Stereo Matching with a Pre-trained Depth Foundation Model	Mar 30, 2025	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	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