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 451–475 of 2454 papers

Title	Date	Tasks	Status	Hype
MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object Detection	Mar 16, 2022	3D Object DetectionDepth Estimation	CodeCode Available	1
Monocular Depth Distribution Alignment with Low Computation	Mar 9, 2022	Depth Estimationglobal-optimization	CodeCode Available	1
Joint Learning of Salient Object Detection, Depth Estimation and Contour Extraction	Mar 9, 2022	Depth Estimationobject-detection	CodeCode Available	1
ChiTransformer:Towards Reliable Stereo from Cues	Mar 9, 2022	Depth EstimationRetrieval	CodeCode Available	1
Lightweight Monocular Depth Estimation through Guided Decoding	Mar 8, 2022	DecoderDepth Estimation	CodeCode Available	1
Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving	Mar 4, 2022	3D Object DetectionAutonomous Driving	CodeCode Available	1
Occlusion-Aware Cost Constructor for Light Field Depth Estimation	Mar 3, 2022	Depth Estimation	CodeCode Available	1
OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion	Mar 2, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
MUAD: Multiple Uncertainties for Autonomous Driving, a benchmark for multiple uncertainty types and tasks	Mar 2, 2022	Anomaly DetectionAutonomous Driving	CodeCode Available	1
360 Depth Estimation in the Wild -- The Depth360 Dataset and the SegFuse Network	Feb 16, 2022	Autonomous DrivingDepth Estimation	CodeCode Available	1
Automated Distance Estimation for Wildlife Camera Trapping	Feb 9, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
Transformers in Self-Supervised Monocular Depth Estimation with Unknown Camera Intrinsics	Feb 7, 2022	Autonomous DrivingDepth Estimation	CodeCode Available	1
GLPanoDepth: Global-to-Local Panoramic Depth Estimation	Feb 6, 2022	Depth Estimation	CodeCode Available	1
Mobile Robot Manipulation using Pure Object Detection	Jan 28, 2022	Depth EstimationFew-Shot Learning	CodeCode Available	1
A Confidence-based Iterative Solver of Depths and Surface Normals for Deep Multi-view Stereo	Jan 19, 2022	Depth Estimation	CodeCode Available	1
Global-Local Path Networks for Monocular Depth Estimation with Vertical CutDepth	Jan 19, 2022	DecoderDepth Estimation	CodeCode Available	1
Maximizing Self-supervision from Thermal Image for Effective Self-supervised Learning of Depth and Ego-motion	Jan 12, 2022	Depth EstimationSelf-Supervised Learning	CodeCode Available	1
Robust photon-efficient imaging using a pixel-wise residual shrinkage network	Jan 5, 2022	Depth Estimation	CodeCode Available	1
Discrete Time Convolution for Fast Event-Based Stereo	Jan 1, 2022	Depth EstimationStereo Matching	CodeCode Available	1
Stereo Depth From Events Cameras: Concentrate and Focus on the Future	Jan 1, 2022	Depth Estimation	CodeCode Available	1
Chitransformer: Towards Reliable Stereo From Cues	Jan 1, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
Dense Depth Estimation from Multiple 360-degree Images Using Virtual Depth	Dec 30, 2021	Depth EstimationTranslation	CodeCode Available	1
ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation	Dec 29, 2021	3D ReconstructionDepth Estimation	CodeCode Available	1
Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation	Dec 24, 2021	Depth EstimationDepth Prediction	CodeCode Available	1
Towards General and Efficient Active Learning	Dec 15, 2021	Active LearningDepth Estimation	CodeCode Available	1

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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