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 301–325 of 2454 papers

Title	Date	Tasks	Status	Hype	Score
GIVT: Generative Infinite-Vocabulary Transformers	Dec 4, 2023	Conditional Image GenerationDecoder	CodeCode Available	1	5
High Quality Monocular Depth Estimation via Transfer Learning	Dec 31, 2018	Action ClassificationDecoder	CodeCode Available	1	5
Gated2Gated: Self-Supervised Depth Estimation from Gated Images	Dec 4, 2021	Depth Estimation	CodeCode Available	1	5
ARAI-MVSNet: A multi-view stereo depth estimation network with adaptive depth range and depth interval	Aug 17, 2023	Depth EstimationStereo Depth Estimation	CodeCode Available	1	5
GCNDepth: Self-supervised Monocular Depth Estimation based on Graph Convolutional Network	Dec 13, 2021	3D ReconstructionDepth Estimation	CodeCode Available	1	5
3D Visual Illusion Depth Estimation	May 19, 2025	Common Sense ReasoningDepth Estimation	CodeCode Available	1	5
Dense Depth Estimation from Multiple 360-degree Images Using Virtual Depth	Dec 30, 2021	Depth EstimationTranslation	CodeCode Available	1	5
A Practical Stereo Depth System for Smart Glasses	Nov 19, 2022	CPUDepth Estimation	CodeCode Available	1	5
Depth Any Canopy: Leveraging Depth Foundation Models for Canopy Height Estimation	Aug 8, 2024	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes	Sep 26, 2023	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
GEDepth: Ground Embedding for Monocular Depth Estimation	Sep 18, 2023	Depth EstimationDepth Prediction	CodeCode Available	1	5
CL-MVSNet: Unsupervised Multi-View Stereo with Dual-Level Contrastive Learning	Jan 1, 2023	3D geometryContrastive Learning	CodeCode Available	1	5
Fully Self-Supervised Depth Estimation from Defocus Clue	Mar 19, 2023	Depth Estimation	CodeCode Available	1	5
CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation	Mar 17, 2023	Continual LearningDepth Estimation	CodeCode Available	1	5
DEFLOW: Self-supervised 3D Motion Estimation of Debris Flow	Apr 5, 2023	Autonomous DrivingDepth Estimation	CodeCode Available	1	5
Densely Constrained Depth Estimator for Monocular 3D Object Detection	Jul 20, 2022	3D Object DetectionDepth Estimation	CodeCode Available	1	5
Adaptive Surface Normal Constraint for Depth Estimation	Mar 29, 2021	3D geometryDepth Estimation	CodeCode Available	1	5
Depth and DOF Cues Make A Better Defocus Blur Detector	Jun 20, 2023	Defocus Blur DetectionDepth Estimation	CodeCode Available	1	5
DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning	Mar 30, 2020	Depth EstimationMonocular Depth Estimation	CodeCode Available	1	5
3DVNet: Multi-View Depth Prediction and Volumetric Refinement	Dec 1, 2021	3D Action Recognition3D Reconstruction	CodeCode Available	1	5
Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark	Dec 17, 2022	Autonomous DrivingDepth Estimation	CodeCode Available	1	5
Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction	Feb 18, 2021	Depth EstimationDepth Prediction	CodeCode Available	1	5
Defocus Blur Detection via Depth Distillation	Jul 16, 2020	DecoderDefocus Blur Detection	CodeCode Available	1	5
Depth-aware Test-Time Training for Zero-shot Video Object Segmentation	Mar 7, 2024	Depth EstimationDepth Prediction	CodeCode Available	1	5
G2-MonoDepth: A General Framework of Generalized Depth Inference from Monocular RGB+X Data	Oct 24, 2023	Data AugmentationDepth Completion	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