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 1551–1575 of 2454 papers

Title	Date	Tasks	Status	Hype
Real-Time Monocular Human Depth Estimation and Segmentation on Embedded Systems	Aug 24, 2021	Collision AvoidanceDecoder	CodeCode Available	1
Bridging Unsupervised and Supervised Depth from Focus via All-in-Focus Supervision	Aug 24, 2021	AllDepth Estimation	CodeCode Available	1
SIDE: Center-based Stereo 3D Detector with Structure-aware Instance Depth Estimation	Aug 22, 2021	Depth Estimation	—Unverified	0
MobileStereoNet: Towards Lightweight Deep Networks for Stereo Matching	Aug 22, 2021	Depth EstimationDisparity Estimation	CodeCode Available	1
Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth Estimation	Aug 19, 2021	Depth EstimationMetric Learning	CodeCode Available	1
VolumeFusion: Deep Depth Fusion for 3D Scene Reconstruction	Aug 19, 2021	3D Reconstruction3D Scene Reconstruction	—Unverified	0
StructDepth: Leveraging the structural regularities for self-supervised indoor depth estimation	Aug 19, 2021	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
A Simple Framework for 3D Lensless Imaging with Programmable Masks	Aug 18, 2021	Depth Estimation	CodeCode Available	0
Panoramic Depth Estimation via Supervised and Unsupervised Learning in Indoor Scenes	Aug 18, 2021	Camera CalibrationDepth Estimation	CodeCode Available	0
A Hybrid Sparse-Dense Monocular SLAM System for Autonomous Driving	Aug 17, 2021	Autonomous DrivingDepth Estimation	CodeCode Available	1
Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation	Aug 17, 2021	AllDepth Estimation	CodeCode Available	1
Is Pseudo-Lidar needed for Monocular 3D Object detection?	Aug 13, 2021	3D Object DetectionDepth Estimation	CodeCode Available	1
DnD: Dense Depth Estimation in Crowded Dynamic Indoor Scenes	Aug 12, 2021	3D ReconstructionDepth Estimation	—Unverified	0
MultiTask-CenterNet (MCN): Efficient and Diverse Multitask Learning using an Anchor Free Approach	Aug 11, 2021	Depth Estimationobject-detection	—Unverified	0
Towards Interpretable Deep Networks for Monocular Depth Estimation	Aug 11, 2021	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
ConvNets vs. Transformers: Whose Visual Representations are More Transferable?	Aug 11, 2021	ClassificationDepth Estimation	—Unverified	0
Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning	Aug 11, 2021	DeblurringDepth Estimation	CodeCode Available	1
Multi-Source Fusion and Automatic Predictor Selection for Zero-Shot Video Object Segmentation	Aug 11, 2021	Depth EstimationObject	CodeCode Available	1
R4Dyn: Exploring Radar for Self-Supervised Monocular Depth Estimation of Dynamic Scenes	Aug 10, 2021	Autonomous VehiclesDepth Estimation	—Unverified	0
UniNet: A Unified Scene Understanding Network and Exploring Multi-Task Relationships through the Lens of Adversarial Attacks	Aug 10, 2021	Depth EstimationDepth Prediction	CodeCode Available	0
Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark	Aug 9, 2021	Depth EstimationImage Enhancement	CodeCode Available	1
Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images	Aug 6, 2021	Depth EstimationPanoptic Segmentation	CodeCode Available	1
Visual Domain Adaptation for Monocular Depth Estimation on Resource-Constrained Hardware	Aug 5, 2021	Depth EstimationDomain Adaptation	CodeCode Available	0
MFuseNet: Robust Depth Estimation with Learned Multiscopic Fusion	Aug 5, 2021	Depth EstimationStereo Matching	—Unverified	0
AcousticFusion: Fusing Sound Source Localization to Visual SLAM in Dynamic Environments	Aug 3, 2021	Depth EstimationObject	—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