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 2026–2050 of 2454 papers

Title	Date	Tasks	Status
On the Benefit of Adversarial Training for Monocular Depth Estimation	Oct 29, 2019	Depth EstimationDepth Prediction	CodeCode Available
Deep Classification Network for Monocular Depth Estimation	Oct 23, 2019	ClassificationDepth Estimation	—Unverified
Unsupervised High-Resolution Depth Learning From Videos With Dual Networks	Oct 20, 2019	Depth EstimationMonocular Depth Estimation	—Unverified
Octave Deep Plane-Sweeping Network: Reducing Spatial Redundancy for Learning-Based Plane-Sweeping Stereo	Oct 14, 2019	Depth EstimationGPU	CodeCode Available
Joint Image and Depth Estimation with Mask-Based Lensless Cameras	Oct 6, 2019	Depth Estimation	—Unverified
ClearGrasp: 3D Shape Estimation of Transparent Objects for Manipulation	Oct 6, 2019	3D geometryDepth Completion	CodeCode Available
Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances	Oct 4, 2019	Depth EstimationMonocular Depth Estimation	—Unverified
A Neural Network for Detailed Human Depth Estimation from a Single Image	Oct 3, 2019	Depth Estimation	CodeCode Available
Deep 3D Pan via adaptive "t-shaped" convolutions with global and local adaptive dilations	Oct 2, 2019	Depth EstimationMonocular Depth Estimation	—Unverified
Spatial Correspondence With Generative Adversarial Network: Learning Depth From Monocular Videos	Oct 1, 2019	Autonomous DrivingCamera Pose Estimation	—Unverified
Digging Into Self-Supervised Monocular Depth Estimation	Oct 1, 2019	Depth EstimationMonocular Depth Estimation	CodeCode Available
Monocular Piecewise Depth Estimation in Dynamic Scenes by Exploiting Superpixel Relations	Oct 1, 2019	Depth EstimationMonocular Depth Estimation	—Unverified
Deep Depth From Aberration Map	Oct 1, 2019	Depth EstimationMonocular Depth Estimation	—Unverified
SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion	Oct 1, 2019	Depth EstimationMotion Estimation	—Unverified
Nighttime Stereo Depth Estimation using Joint Translation-Stereo Learning: Light Effects and Uninformative Regions	Sep 30, 2019	Depth EstimationStereo Depth Estimation	CodeCode Available
SteReFo: Efficient Image Refocusing with Stereo Vision	Sep 29, 2019	Depth Estimation	—Unverified
Global-Local Network for Learning Depth with Very Sparse Supervision	Sep 25, 2019	Depth EstimationInductive Bias	—Unverified
Efficient Surface-Aware Semi-Global Matching with Multi-View Plane-Sweep Sampling	Sep 21, 2019	Depth Estimation	—Unverified
Self-Supervised Monocular Depth Hints	Sep 19, 2019	Depth EstimationDepth Prediction	CodeCode Available
Learning to Think Outside the Box: Wide-Baseline Light Field Depth Estimation with EPI-Shift	Sep 19, 2019	Depth Estimation	—Unverified
Spherical View Synthesis for Self-Supervised 360 Depth Estimation	Sep 17, 2019	3D Depth EstimationDepth Estimation	CodeCode Available
Task-Aware Monocular Depth Estimation for 3D Object Detection	Sep 17, 2019	3D Object Detection3D Object Recognition	CodeCode Available
Progressive Fusion for Unsupervised Binocular Depth Estimation using Cycled Networks	Sep 17, 2019	Data AugmentationDepth Estimation	CodeCode Available
Temporally Consistent Depth Prediction with Flow-Guided Memory Units	Sep 16, 2019	Autonomous DrivingDepth Estimation	—Unverified
Deep Robotic Prediction with hierarchical RGB-D Fusion	Sep 14, 2019	DecoderDepth Estimation	—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