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 426–450 of 2454 papers

Title	Date	Tasks	Status	Hype	Score
Deeper Depth Prediction with Fully Convolutional Residual Networks	Jun 1, 2016	Depth EstimationDepth Prediction	CodeCode Available	1	5
Self-supervised 3D Representation Learning of Dressed Humans from Social Media Videos	Mar 4, 2021	3D Human ReconstructionDepth Estimation	CodeCode Available	1	5
Deeper into Self-Supervised Monocular Indoor Depth Estimation	Dec 3, 2023	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
A Hybrid Sparse-Dense Monocular SLAM System for Autonomous Driving	Aug 17, 2021	Autonomous DrivingDepth Estimation	CodeCode Available	1	5
Gated2Gated: Self-Supervised Depth Estimation from Gated Images	Dec 4, 2021	Depth Estimation	CodeCode Available	1	5
Channel-Aware Distillation Transformer for Depth Estimation on Nano Drones	Mar 18, 2023	Autonomous NavigationDepth Estimation	CodeCode Available	1	5
Learning Depth Estimation for Transparent and Mirror Surfaces	Jul 27, 2023	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
Learning Depth from Focus in the Wild	Jul 20, 2022	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
Learning Ego 3D Representation as Ray Tracing	Jun 8, 2022	3D Object DetectionBEV Segmentation	CodeCode Available	1	5
Learning Light Field Angular Super-Resolution via a Geometry-Aware Network	Feb 26, 2020	Depth EstimationSuper-Resolution	CodeCode Available	1	5
Geometry Uncertainty Projection Network for Monocular 3D Object Detection	Jul 29, 2021	3D Object Detection3D Object Detection From Monocular Images	CodeCode Available	1	5
NDDepth: Normal-Distance Assisted Monocular Depth Estimation	Sep 19, 2023	Depth EstimationDepth Prediction	CodeCode Available	1	5
DEPTHOR: Depth Enhancement from a Practical Light-Weight dToF Sensor and RGB Image	Apr 2, 2025	Depth CompletionDepth Estimation	CodeCode Available	1	5
CDGS: Confidence-Aware Depth Regularization for 3D Gaussian Splatting	Feb 20, 2025	3DGS3D Reconstruction	CodeCode Available	1	5
BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection	Nov 17, 2022	3D Object DetectionDepth Estimation	CodeCode Available	1	5
GET-UP: GEomeTric-aware Depth Estimation with Radar Points UPsampling	Sep 2, 2024	Autonomous DrivingDepth Estimation	CodeCode Available	1	5
Deep Multi-view Depth Estimation with Predicted Uncertainty	Nov 19, 2020	Depth EstimationOptical Flow Estimation	CodeCode Available	1	5
Deep Multi-View Stereo gone wild	Apr 30, 2021	Depth EstimationDepth Prediction	CodeCode Available	1	5
BEVNeXt: Reviving Dense BEV Frameworks for 3D Object Detection	Dec 4, 2023	3D Object DetectionDecoder	CodeCode Available	1	5
A Light and Tuning-free Method for Simulating Camera Motion in Video Generation	Mar 9, 2025	DenoisingDepth Estimation	CodeCode Available	1	5
Learnable Differencing Center for Nighttime Depth Perception	Jun 26, 2023	Depth CompletionDepth Estimation	CodeCode Available	1	5
GroCo: Ground Constraint for Metric Self-Supervised Monocular Depth	Sep 23, 2024	Depth EstimationDepth Prediction	CodeCode Available	1	5
Deep Ordinal Regression Network for Monocular Depth Estimation	Jun 6, 2018	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
Depth Map Decomposition for Monocular Depth Estimation	Aug 23, 2022	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