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 1976–2000 of 2454 papers

Title	Date	Tasks	Status	Hype
Monocular Depth Estimation Based On Deep Learning: An Overview	Mar 14, 2020	Deep LearningDepth Estimation	—Unverified	0
Softmax Splatting for Video Frame Interpolation	Mar 11, 2020	Depth EstimationOptical Flow Estimation	CodeCode Available	1
Confidence Guided Stereo 3D Object Detection with Split Depth Estimation	Mar 11, 2020	3D Object Detection3D Object Detection From Stereo Images	—Unverified	0
Uncertainty depth estimation with gated images for 3D reconstruction	Mar 11, 2020	3D ReconstructionDepth Completion	—Unverified	0
Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds	Mar 9, 2020	Depth EstimationDepth Prediction	—Unverified	0
Scalable Uncertainty for Computer Vision with Functional Variational Inference	Mar 6, 2020	Depth EstimationGaussian Processes	—Unverified	0
Harnessing Multi-View Perspective of Light Fields for Low-Light Imaging	Mar 5, 2020	Depth Estimation	CodeCode Available	0
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry	Mar 2, 2020	Depth EstimationMonocular Depth Estimation	—Unverified	0
A-TVSNet: Aggregated Two-View Stereo Network for Multi-View Stereo Depth Estimation	Mar 2, 2020	Depth EstimationStereo Depth Estimation	CodeCode Available	1
Unsupervised Learning of Depth, Optical Flow and Pose with Occlusion from 3D Geometry	Mar 2, 2020	3D geometryAutonomous Driving	CodeCode Available	1
Learning Depth With Very Sparse Supervision	Mar 2, 2020	Depth Estimation	—Unverified	0
Predicting Sharp and Accurate Occlusion Boundaries in Monocular Depth Estimation Using Displacement Fields	Feb 28, 2020	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth	Feb 27, 2020	Depth EstimationDepth Prediction	CodeCode Available	2
Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation	Feb 27, 2020	ARCDepth Estimation	—Unverified	0
Learning Light Field Angular Super-Resolution via a Geometry-Aware Network	Feb 26, 2020	Depth EstimationSuper-Resolution	CodeCode Available	1
Dense monocular Simultaneous Localization and Mapping by direct surfel optimization	Feb 14, 2020	Depth EstimationMonocular Depth Estimation	—Unverified	0
Attention-based View Selection Networks for Light-field Disparity Estimation	Feb 7, 2020	Depth EstimationDisparity Estimation	CodeCode Available	1
Monocular 3D Object Detection with Decoupled Structured Polygon Estimation and Height-Guided Depth Estimation	Feb 5, 2020	3D Object DetectionDepth Estimation	—Unverified	0
DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data	Feb 3, 2020	Depth EstimationDepth Prediction	CodeCode Available	1
Detecting Deficient Coverage in Colonoscopies	Jan 23, 2020	Depth Estimation	—Unverified	0
Active Perception with A Monocular Camera for Multiscopic Vision	Jan 22, 2020	Depth EstimationStereo Matching	CodeCode Available	1
FIS-Nets: Full-image Supervised Networks for Monocular Depth Estimation	Jan 19, 2020	Depth CompletionDepth Estimation	—Unverified	0
Towards Augmented Reality-based Suturing in Monocular Laparoscopic Training	Jan 19, 2020	Depth EstimationSegmentation	—Unverified	0
Indoor Layout Estimation by 2D LiDAR and Camera Fusion	Jan 15, 2020	Depth EstimationPose Estimation	—Unverified	0
Single Image Depth Estimation Trained via Depth from Defocus Cues	Jan 14, 2020	Depth EstimationLightfield	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