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 2376–2400 of 2454 papers

Title	Date	Tasks	Status
Learning Depth with Convolutional Spatial Propagation Network	Oct 4, 2018	Depth CompletionDepth Estimation	CodeCode Available
Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields	Feb 26, 2015	Depth Estimation	CodeCode Available
Learning Across Tasks and Domains	Apr 9, 2019	Depth EstimationDomain Adaptation	CodeCode Available
Efficient Calisthenics Skills Classification through Foreground Instance Selection and Depth Estimation	Jul 16, 2025	ClassificationDepth Estimation	CodeCode Available
Edge-Guided Occlusion Fading Reduction for a Light-Weighted Self-Supervised Monocular Depth Estimation	Nov 26, 2019	Depth EstimationGPU	CodeCode Available
EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN Scenes	Nov 9, 2020	Depth EstimationDepth Prediction	CodeCode Available
Tackling water table depth modeling via machine learning: From proxy observations to verifiability	Apr 30, 2024	Depth Estimation	CodeCode Available
Virtually Enriched NYU Depth V2 Dataset for Monocular Depth Estimation: Do We Need Artificial Augmentation?	Apr 15, 2024	Depth EstimationMonocular Depth Estimation	CodeCode Available
EDADepth: Enhanced Data Augmentation for Monocular Depth Estimation	Sep 10, 2024	Data AugmentationDepth Estimation	CodeCode Available
Dynamic Filter Networks	May 31, 2016	Depth EstimationOptical Flow Estimation	CodeCode Available
LCD: Learned Cross-Domain Descriptors for 2D-3D Matching	Nov 21, 2019	3D Point Cloud MatchingDepth Estimation	CodeCode Available
The ADUULM-360 Dataset -- A Multi-Modal Dataset for Depth Estimation in Adverse Weather	Nov 18, 2024	Autonomous DrivingDepth Estimation	CodeCode Available
Continual Learning of Unsupervised Monocular Depth from Videos	Nov 4, 2023	Autonomous DrivingContinual Learning	CodeCode Available
Joint Depth Estimation and Mixture of Rain Removal From a Single Image	Mar 31, 2023	Depth EstimationRain Removal	CodeCode Available
Consistency Regularisation for Unsupervised Domain Adaptation in Monocular Depth Estimation	May 27, 2024	Depth EstimationDomain Adaptation	CodeCode Available
Semantic Information in Contrastive Learning	Jan 1, 2023	Contrastive LearningDepth Estimation	CodeCode Available
The Devil is in the Decoder: Classification, Regression and GANs	Jul 18, 2017	Boundary DetectionDecoder	CodeCode Available
Consensus-based Optimization for 3D Human Pose Estimation in Camera Coordinates	Nov 21, 2019	3D Human Pose EstimationDepth Estimation	CodeCode Available
Dual CNN Models for Unsupervised Monocular Depth Estimation	Apr 16, 2018	Depth EstimationImage Reconstruction	CodeCode Available
DPF^*: improved Depth Potential Function for scale-invariant sulcal depth estimation	Jan 9, 2025	Depth Estimation	CodeCode Available
iToF-flow-based High Frame Rate Depth Imaging	Jan 1, 2024	Depth Estimation	CodeCode Available
Semi-SD: Semi-Supervised Metric Depth Estimation via Surrounding Cameras for Autonomous Driving	Mar 25, 2025	Autonomous DrivingDepth Estimation	CodeCode Available
On the Viability of Monocular Depth Pre-training for Semantic Segmentation	Mar 26, 2022	Depth EstimationDepth Prediction	CodeCode Available
Investigating Neural Architectures by Synthetic Dataset Design	Apr 23, 2022	Depth Estimation	CodeCode Available
Attention-based Context Aggregation Network for Monocular Depth Estimation	Jan 29, 2019	Depth EstimationMonocular Depth Estimation	CodeCode Available

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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