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 1676–1700 of 2454 papers

Title	Date	Tasks	Status	Hype
A Front-End for Dense Monocular SLAM using a Learned Outlier Mask Prior	Apr 1, 2021	Depth EstimationDepth Prediction	—Unverified	0
RGB-D Local Implicit Function for Depth Completion of Transparent Objects	Apr 1, 2021	Depth CompletionDepth Estimation	CodeCode Available	1
Unsupervised Learning of Monocular Depth and Ego-Motion Using Multiple Masks	Apr 1, 2021	Depth EstimationMotion Estimation	CodeCode Available	1
LED2-Net: Monocular 360 Layout Estimation via Differentiable Depth Rendering	Apr 1, 2021	3D Room Layouts From A Single RGB PanoramaDepth Estimation	CodeCode Available	1
Unpaired Single-Image Depth Synthesis with cycle-consistent Wasserstein GANs	Mar 31, 2021	Depth EstimationPose Estimation	—Unverified	0
DynOcc: Learning Single-View Depth from Dynamic Occlusion Cues	Mar 30, 2021	3D ReconstructionAutonomous Driving	—Unverified	0
Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion	Mar 30, 2021	Depth EstimationDepth Prediction	CodeCode Available	2
Geometric Unsupervised Domain Adaptation for Semantic Segmentation	Mar 30, 2021	Depth EstimationDepth Prediction	—Unverified	0
Does it work outside this benchmark? Introducing the Rigid Depth Constructor tool, depth validation dataset construction in rigid scenes for the masses	Mar 29, 2021	Depth EstimationDepth Prediction	CodeCode Available	1
Bayesian Deep Basis Fitting for Depth Completion with Uncertainty	Mar 29, 2021	Depth CompletionDepth Estimation	—Unverified	0
Generalizing to the Open World: Deep Visual Odometry with Online Adaptation	Mar 29, 2021	Bayesian InferenceDepth Estimation	—Unverified	0
Adaptive Surface Normal Constraint for Depth Estimation	Mar 29, 2021	3D geometryDepth Estimation	CodeCode Available	1
MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis	Mar 27, 2021	3D ReconstructionDepth Estimation	CodeCode Available	1
Vision Transformers for Dense Prediction	Mar 24, 2021	DecoderDepth Estimation	CodeCode Available	3
A Framework for 3D Tracking of Frontal Dynamic Objects in Autonomous Cars	Mar 24, 2021	Depth Estimation	—Unverified	0
SaccadeCam: Adaptive Visual Attention for Monocular Depth Sensing	Mar 24, 2021	Depth EstimationMonocular Depth Estimation	CodeCode Available	0
Volumetric Propagation Network: Stereo-LiDAR Fusion for Long-Range Depth Estimation	Mar 24, 2021	Depth CompletionDepth Estimation	—Unverified	0
Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution	Mar 24, 2021	Depth EstimationSuper-Resolution	—Unverified	0
M3DSSD: Monocular 3D Single Stage Object Detector	Mar 24, 2021	3D Object DetectionDepth Estimation	CodeCode Available	1
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types	Mar 24, 2021	Autonomous DrivingDepth Estimation	—Unverified	0
Stereo Object Matching Network	Mar 23, 2021	3D Object DetectionDepth Estimation	—Unverified	0
Revisiting Self-Supervised Monocular Depth Estimation	Mar 23, 2021	Autonomous VehiclesDepth Estimation	CodeCode Available	0
Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision	Mar 22, 2021	Autonomous DrivingDepth Estimation	CodeCode Available	1
Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction	Mar 22, 2021	DecoderDepth Estimation	CodeCode Available	1
Unsupervised Learning of Depth Estimation and Visual Odometry for Sparse Light Field Cameras	Mar 21, 2021	Depth EstimationDiversity	—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