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 276–300 of 2454 papers

Title	Date	Tasks	Status	Hype
Bridging Spectral-wise and Multi-spectral Depth Estimation via Geometry-guided Contrastive Learning	Mar 2, 2025	Autonomous VehiclesContrastive Learning	CodeCode Available	1
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume	Aug 14, 2023	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
Attention Attention Everywhere: Monocular Depth Prediction with Skip Attention	Oct 17, 2022	DecoderDepth Estimation	CodeCode Available	1
A Benchmark and a Baseline for Robust Multi-view Depth Estimation	Sep 13, 2022	Depth Estimation	CodeCode Available	1
Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction	Feb 18, 2021	Depth EstimationDepth Prediction	CodeCode Available	1
Dual Pixel Exploration: Simultaneous Depth Estimation and Image Restoration	Dec 1, 2020	Depth EstimationImage Restoration	CodeCode Available	1
Dyna-DM: Dynamic Object-aware Self-supervised Monocular Depth Maps	Jun 8, 2022	Autonomous DrivingDepth Estimation	CodeCode Available	1
Atlantis: Enabling Underwater Depth Estimation with Stable Diffusion	Dec 19, 2023	Depth EstimationImage Restoration	CodeCode Available	1
A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image	Aug 27, 2019	3D Pose EstimationDecoder	CodeCode Available	1
A technique to jointly estimate depth and depth uncertainty for unmanned aerial vehicles	May 31, 2023	Autonomous VehiclesDepth Aleatoric Uncertainty Estimation	CodeCode Available	1
Advancing Self-supervised Monocular Depth Learning with Sparse LiDAR	Sep 20, 2021	3D Object DetectionDepth Completion	CodeCode Available	1
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation	Apr 28, 2021	Depth EstimationDepth Prediction	CodeCode Available	1
DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and Tracking	Mar 29, 2023	3D Object DetectionDepth Estimation	CodeCode Available	1
DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data	Feb 3, 2020	Depth EstimationDepth Prediction	CodeCode Available	1
Distilled Semantics for Comprehensive Scene Understanding from Videos	Mar 31, 2020	Depth EstimationKnowledge Distillation	CodeCode Available	1
Collaboration Helps Camera Overtake LiDAR in 3D Detection	Mar 23, 2023	Depth Estimation	CodeCode Available	1
Does it work outside this benchmark? Introducing the Rigid Depth Constructor tool, depth validation dataset construction in rigid scenes for the masses	Mar 29, 2021	Depth EstimationDepth Prediction	CodeCode Available	1
A Study on the Generality of Neural Network Structures for Monocular Depth Estimation	Jan 9, 2023	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
A Study on Self-Supervised Pretraining for Vision Problems in Gastrointestinal Endoscopy	Jan 11, 2024	Depth EstimationLandmark Recognition	CodeCode Available	1
Disparity Estimation Using a Quad-Pixel Sensor	Sep 1, 2024	Depth EstimationDisparity Estimation	CodeCode Available	1
Discrete Time Convolution for Fast Event-Based Stereo	Jan 1, 2022	Depth EstimationStereo Matching	CodeCode Available	1
4K-HAZE: A Dehazing Benchmark with 4K Resolution Hazy and Haze-Free Images	Mar 28, 2023	4kDepth Estimation	CodeCode Available	1
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth	Mar 29, 2022	Depth EstimationDepth Prediction	CodeCode Available	1
Automated Distance Estimation for Wildlife Camera Trapping	Feb 9, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
360MonoDepth: High-Resolution 360° Monocular Depth Estimation	Nov 30, 2021	2kDepth Estimation	CodeCode Available	1

Show:10 25 50

← PrevPage 12 of 99Next →

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