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 1351–1375 of 2454 papers

Title	Date	Tasks	Status	Hype
End-to-end Learning for Joint Depth and Image Reconstruction from Diffracted Rotation	Apr 14, 2022	DeblurringDepth Estimation	—Unverified	0
Does depth estimation help object detection?	Apr 13, 2022	Depth EstimationObject	—Unverified	0
HiMODE: A Hybrid Monocular Omnidirectional Depth Estimation Model	Apr 11, 2022	DecoderDepth Estimation	—Unverified	0
SurroundDepth: Entangling Surrounding Views for Self-Supervised Multi-Camera Depth Estimation	Apr 7, 2022	Autonomous DrivingDepth Estimation	CodeCode Available	2
Task-Aware Active Learning for Endoscopic Image Analysis	Apr 7, 2022	Active LearningDepth Estimation	CodeCode Available	0
StaSiS-Net: a stacked and siamese stereo network for depth reconstruction in modern 3D laparoscopy.	Apr 6, 2022	DecoderDepth Estimation	CodeCode Available	1
Pyramid Frequency Network with Spatial Attention Residual Refinement Module for Monocular Depth Estimation	Apr 5, 2022	Deep LearningDepth Estimation	—Unverified	0
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior	Apr 5, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
Improving Monocular Visual Odometry Using Learned Depth	Apr 4, 2022	Depth EstimationMonocular Depth Estimation	—Unverified	0
Monitoring social distancing with single image depth estimation	Apr 4, 2022	CPUDepth Estimation	—Unverified	0
MultiMAE: Multi-modal Multi-task Masked Autoencoders	Apr 4, 2022	Depth Estimationimage-classification	CodeCode Available	2
BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation	Apr 3, 2022	DecoderDepth Estimation	CodeCode Available	2
Distortion-Aware Self-Supervised 360° Depth Estimation from A Single Equirectangular Projection Image	Apr 3, 2022	Depth EstimationDepth Prediction	—Unverified	0
Casual 6-DoF: free-viewpoint panorama using a handheld 360 camera	Mar 31, 2022	Depth Estimation	—Unverified	0
Towards Multimodal Depth Estimation from Light Fields	Mar 30, 2022	Depth EstimationDepth Prediction	—Unverified	0
Self-Supervised Light Field Depth Estimation Using Epipolar Plane Images	Mar 29, 2022	Depth EstimationDiversity	—Unverified	0
Disentangling Object Motion and Occlusion for Unsupervised Multi-frame Monocular Depth	Mar 29, 2022	Depth EstimationDepth Prediction	CodeCode Available	1
Learning Structured Gaussians to Approximate Deep Ensembles	Mar 29, 2022	Depth EstimationMonocular Depth Estimation	—Unverified	0
Light Field Depth Estimation via Stitched Epipolar Plane Images	Mar 29, 2022	Depth Estimation	CodeCode Available	0
Learning Optical Flow, Depth, and Scene Flow without Real-World Labels	Mar 28, 2022	Autonomous DrivingDepth Estimation	—Unverified	0
LocalBins: Improving Depth Estimation by Learning Local Distributions	Mar 28, 2022	AllDecoder	CodeCode Available	1
DepthFormer: Exploiting Long-Range Correlation and Local Information for Accurate Monocular Depth Estimation	Mar 27, 2022	Depth EstimationInductive Bias	CodeCode Available	0
On the Viability of Monocular Depth Pre-training for Semantic Segmentation	Mar 26, 2022	Depth EstimationDepth Prediction	CodeCode Available	0
Learn to Adapt for Monocular Depth Estimation	Mar 26, 2022	Depth EstimationDomain Adaptation	—Unverified	0
Unsupervised Simultaneous Learning for Camera Re-Localization and Depth Estimation from Video	Mar 24, 2022	Depth EstimationMonocular Depth 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