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 2301–2325 of 2454 papers

Title	Date	Tasks	Status
Evaluation of CNN-based Single-Image Depth Estimation Methods	May 3, 2018	Depth Estimation	—Unverified
Deep cross-domain building extraction for selective depth estimation from oblique aerial imagery	Apr 23, 2018	3D ReconstructionDepth Estimation	—Unverified
PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image	Apr 17, 2018	Depth EstimationDepth Prediction	CodeCode Available
Dual CNN Models for Unsupervised Monocular Depth Estimation	Apr 16, 2018	Depth EstimationImage Reconstruction	CodeCode Available
Estimating Depth from RGB and Sparse Sensing	Apr 8, 2018	Depth EstimationMonocular Depth Estimation	CodeCode Available
EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth from Light Field Images	Apr 6, 2018	Data AugmentationDepth Estimation	CodeCode Available
Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation	Mar 29, 2018	Depth EstimationMonocular Depth Estimation	CodeCode Available
Motion Guided LIDAR-camera Self-calibration and Accelerated Depth Upsampling for Autonomous Vehicles	Mar 28, 2018	Autonomous VehiclesDepth Estimation	—Unverified
Learning Depth from Single Images with Deep Neural Network Embedding Focal Length	Mar 27, 2018	Depth EstimationNetwork Embedding	—Unverified
On the Importance of Stereo for Accurate Depth Estimation: An Efficient Semi-Supervised Deep Neural Network Approach	Mar 26, 2018	Autonomous VehiclesDepth Estimation	CodeCode Available
Deep Depth Completion of a Single RGB-D Image	Mar 25, 2018	Depth CompletionDepth Estimation	CodeCode Available
Unsupervised Depth Estimation, 3D Face Rotation and Replacement	Mar 25, 2018	Depth EstimationTranslation	CodeCode Available
Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries	Mar 23, 2018	DecoderDepth Estimation	CodeCode Available
Monocular Depth Estimation by Learning from Heterogeneous Datasets	Mar 21, 2018	Autonomous DrivingDepth Estimation	—Unverified
Robust Depth Estimation from Auto Bracketed Images	Mar 21, 2018	Depth EstimationStereo Matching	—Unverified
Fusion of stereo and still monocular depth estimates in a self-supervised learning context	Mar 20, 2018	Autonomous NavigationDepth Estimation	—Unverified
Monocular Fisheye Camera Depth Estimation Using Sparse LiDAR Supervision	Mar 16, 2018	Depth EstimationDomain Adaptation	—Unverified
Deep Component Analysis via Alternating Direction Neural Networks	Mar 16, 2018	Depth EstimationDepth Prediction	CodeCode Available
Self-Supervised Monocular Image Depth Learning and Confidence Estimation	Mar 14, 2018	Depth Estimation	—Unverified
Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature Reconstruction	Mar 11, 2018	Depth And Camera MotionDepth Estimation	CodeCode Available
Driving Scene Perception Network: Real-time Joint Detection, Depth Estimation and Semantic Segmentation	Mar 10, 2018	Autonomous DrivingDepth Estimation	—Unverified
Single View Stereo Matching	Mar 7, 2018	Depth EstimationMonocular Depth Estimation	CodeCode Available
AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation	Mar 5, 2018	Depth EstimationDomain Adaptation	—Unverified
Monocular Depth Estimation using Multi-Scale Continuous CRFs as Sequential Deep Networks	Mar 1, 2018	Depth EstimationMonocular Depth Estimation	CodeCode Available
Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation	Feb 27, 2018	3D Object Reconstruction3D Object Super-Resolution	CodeCode Available

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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