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	Hype
Sparse Depth Sensing for Resource-Constrained Robots	Mar 4, 2017	Compressive SensingDepth Estimation	CodeCode Available	0
Depth Estimation using Modified Cost Function for Occlusion Handling	Mar 2, 2017	Depth EstimationOcclusion Handling	—Unverified	0
Analyzing Modular CNN Architectures for Joint Depth Prediction and Semantic Segmentation	Feb 26, 2017	Depth EstimationDepth Prediction	—Unverified	0
Computing Egomotion with Local Loop Closures for Egocentric Videos	Jan 17, 2017	Camera Pose EstimationDepth Estimation	—Unverified	0
A General and Adaptive Robust Loss Function	Jan 11, 2017	ClusteringDepth Estimation	CodeCode Available	1
Light Field Super-Resolution Via Graph-Based Regularization	Jan 9, 2017	Depth EstimationDisparity Estimation	—Unverified	0
SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth	Dec 15, 2016	3D ReconstructionCamera Pose Estimation	CodeCode Available	0
Single-View and Multi-View Depth Fusion	Nov 22, 2016	Depth Estimation	—Unverified	0
Light Field Stitching for Extended Synthetic Aperture	Nov 15, 2016	Depth Estimation	—Unverified	0
Hybrid Light Field Imaging for Improved Spatial Resolution and Depth Range	Nov 15, 2016	Depth Estimation	—Unverified	0
CAD2RL: Real Single-Image Flight without a Single Real Image	Nov 13, 2016	3D geometryCollision Avoidance	CodeCode Available	0
Learning to Navigate in Complex Environments	Nov 11, 2016	Depth EstimationDepth Prediction	CodeCode Available	0
Parse Geometry from a Line: Monocular Depth Estimation with Partial Laser Observation	Oct 17, 2016	Depth CompletionDepth Estimation	CodeCode Available	0
ResearchDoom and CocoDoom: Learning Computer Vision with Games	Oct 7, 2016	Depth EstimationMonocular Depth Estimation	—Unverified	0
Exploiting Depth from Single Monocular Images for Object Detection and Semantic Segmentation	Oct 6, 2016	Depth EstimationObject	—Unverified	0
Two-stage Convolutional Part Heatmap Regression for the 1st 3D Face Alignment in the Wild (3DFAW) Challenge	Sep 29, 2016	3D Face AlignmentDepth Estimation	CodeCode Available	0
Geometry-Based Next Frame Prediction from Monocular Video	Sep 20, 2016	Autonomous DrivingBenchmarking	—Unverified	0
Unsupervised Monocular Depth Estimation with Left-Right Consistency	Sep 13, 2016	Depth EstimationDepth Prediction	CodeCode Available	1
Depth Estimation Through a Generative Model of Light Field Synthesis	Sep 6, 2016	Depth Estimation	—Unverified	0
Occlusion-Model Guided Anti-Occlusion Depth Estimation in Light Field	Aug 15, 2016	Depth Estimation	—Unverified	0
Play and Learn: Using Video Games to Train Computer Vision Models	Aug 5, 2016	Depth EstimationDomain Adaptation	—Unverified	0
Fast Robust Monocular Depth Estimation for Obstacle Detection with Fully Convolutional Networks	Jul 21, 2016	Depth EstimationMonocular Depth Estimation	CodeCode Available	0
Depth Estimation from Single Image using Sparse Representations	Jun 27, 2016	Depth EstimationMonocular Depth Estimation	—Unverified	0
3DFS: Deformable Dense Depth Fusion and Segmentation for Object Reconstruction from a Handheld Camera	Jun 15, 2016	3D ReconstructionDepth Estimation	—Unverified	0
Richardson-Lucy Deblurring for Moving Light Field Cameras	Jun 14, 2016	DeblurringDepth Estimation	—Unverified	0

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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