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 2426–2450 of 2454 papers

Title	Date	Tasks	Status
Learning Ordinal Relationships for Mid-Level Vision	Dec 1, 2015	Depth EstimationIntrinsic Image Decomposition	—Unverified
Direct, Dense, and Deformable: Template-Based Non-Rigid 3D Reconstruction From RGB Video	Dec 1, 2015	3D geometry3D Reconstruction	—Unverified
High Quality Structure From Small Motion for Rolling Shutter Cameras	Dec 1, 2015	3D ReconstructionDepth Estimation	—Unverified
Structured Depth Prediction in Challenging Monocular Video Sequences	Nov 19, 2015	Depth EstimationDepth Prediction	—Unverified
Depth Extraction from Videos Using Geometric Context and Occlusion Boundaries	Oct 25, 2015	Camera Pose EstimationDepth Estimation	—Unverified
Lifting GIS Maps into Strong Geometric Context for Scene Understanding	Jul 14, 2015	Depth Estimationobject-detection	—Unverified
HC-Search for Structured Prediction in Computer Vision	Jun 1, 2015	Depth EstimationMonocular Depth Estimation	—Unverified
Depth From Shading, Defocus, and Correspondence Using Light-Field Angular Coherence	Jun 1, 2015	Depth Estimation	—Unverified
Towards Unified Depth and Semantic Prediction From a Single Image	Jun 1, 2015	Depth EstimationDepth Prediction	—Unverified
Indoor Scene Structure Analysis for Single Image Depth Estimation	Jun 1, 2015	Depth Estimation	—Unverified
Superpixel Meshes for Fast Edge-Preserving Surface Reconstruction	Jun 1, 2015	Depth EstimationStereo Depth Estimation	—Unverified
Direction Matters: Depth Estimation With a Surface Normal Classifier	Jun 1, 2015	Depth EstimationStereo Matching	—Unverified
Accurate Depth Map Estimation From a Lenslet Light Field Camera	Jun 1, 2015	Depth Estimation	—Unverified
Diffusion Methods for Classification with Pairwise Relationships	May 22, 2015	Binary ClassificationClassification	—Unverified
Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields	Feb 26, 2015	Depth Estimation	CodeCode Available
Coupled Depth Learning	Jan 19, 2015	Depth Estimationregression	—Unverified
Analog Signal Processing Approach for Coarse and Fine Depth Estimation	Jan 6, 2015	Depth Estimation	—Unverified
Vision and Learning for Deliberative Monocular Cluttered Flight	Nov 24, 2014	Depth EstimationDepth Prediction	—Unverified
Deep Convolutional Neural Fields for Depth Estimation from a Single Image	Nov 24, 2014	Depth Estimation	—Unverified
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture	Nov 18, 2014	Depth EstimationDepth Prediction	CodeCode Available
Joint Depth Estimation and Camera Shake Removal from Single Blurry Image	Jun 1, 2014	DeblurringDepth Estimation	—Unverified
Pulling Things out of Perspective	Jun 1, 2014	Depth EstimationSemantic Segmentation	—Unverified
Discrete-Continuous Depth Estimation from a Single Image	Jun 1, 2014	Depth EstimationMonocular Depth Estimation	—Unverified
Bayesian Depth-from-Defocus with Shading Constraints	Jun 1, 2013	Depth Estimation	—Unverified
Single View Depth Estimation from Examples	Apr 14, 2013	Depth EstimationObject	—Unverified

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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