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 676–700 of 2454 papers

Title	Date	Tasks	Status	Hype
Learning Light Field Angular Super-Resolution via a Geometry-Aware Network	Feb 26, 2020	Depth EstimationSuper-Resolution	CodeCode Available	1
Attention-based View Selection Networks for Light-field Disparity Estimation	Feb 7, 2020	Depth EstimationDisparity Estimation	CodeCode Available	1
DiverseDepth: Affine-invariant Depth Prediction Using Diverse Data	Feb 3, 2020	Depth EstimationDepth Prediction	CodeCode Available	1
Active Perception with A Monocular Camera for Multiscopic Vision	Jan 22, 2020	Depth EstimationStereo Matching	CodeCode Available	1
Single Image Depth Estimation Trained via Depth from Defocus Cues	Jan 14, 2020	Depth EstimationLightfield	CodeCode Available	1
Understanding Contrastive Representation Learning through Geometry on the Hypersphere	Jan 1, 2020	Contrastive LearningDepth Estimation	CodeCode Available	1
Why Having 10,000 Parameters in Your Camera Model is Better Than Twelve	Dec 5, 2019	Camera CalibrationCamera Pose Estimation	CodeCode Available	1
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video	Aug 28, 2019	Camera Pose EstimationDepth And Camera Motion	CodeCode Available	1
A2J: Anchor-to-Joint Regression Network for 3D Articulated Pose Estimation from a Single Depth Image	Aug 27, 2019	3D Pose EstimationDecoder	CodeCode Available	1
From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation	Jul 24, 2019	DecoderDepth Estimation	CodeCode Available	1
UnOS: Unified Unsupervised Optical-Flow and Stereo-Depth Estimation by Watching Videos	Jun 1, 2019	Depth EstimationMotion Segmentation	CodeCode Available	1
3D Packing for Self-Supervised Monocular Depth Estimation	May 6, 2019	Depth EstimationInductive Bias	CodeCode Available	1
Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic Video	Jan 4, 2019	Depth EstimationMotion Estimation	CodeCode Available	1
High Quality Monocular Depth Estimation via Transfer Learning	Dec 31, 2018	Action ClassificationDecoder	CodeCode Available	1
Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving	Dec 18, 2018	3D Object Detection3D Object Detection From Stereo Images	CodeCode Available	1
Efficient Attention: Attention with Linear Complexities	Dec 4, 2018	Depth EstimationExtractive Text Summarization	CodeCode Available	1
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells	Oct 25, 2018	Depth EstimationDepth Prediction	CodeCode Available	1
Towards real-time unsupervised monocular depth estimation on CPU	Jun 29, 2018	Autonomous NavigationCPU	CodeCode Available	1
Deep Ordinal Regression Network for Monocular Depth Estimation	Jun 6, 2018	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
Digging Into Self-Supervised Monocular Depth Estimation	Jun 4, 2018	Camera Pose EstimationDepth Estimation	CodeCode Available	1
GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation	Jun 1, 2018	Depth EstimationSurface Normal Estimation	CodeCode Available	1
Real-Time Monocular Depth Estimation Using Synthetic Data With Domain Adaptation via Image Style Transfer	Jun 1, 2018	Depth EstimationDomain Adaptation	CodeCode Available	1
MegaDepth: Learning Single-View Depth Prediction from Internet Photos	Apr 2, 2018	Depth EstimationDepth Prediction	CodeCode Available	1
Pyramid Stereo Matching Network	Mar 23, 2018	Depth EstimationOmnnidirectional Stereo Depth Estimation	CodeCode Available	1
Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations	Jan 24, 2018	Adversarial AttackDepth Estimation	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