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 1726–1750 of 2454 papers

Title	Date	Tasks	Status	Hype
Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction	Feb 18, 2021	Depth EstimationDepth Prediction	CodeCode Available	1
Improved Point Transformation Methods For Self-Supervised Depth Prediction	Feb 18, 2021	Depth EstimationDepth Prediction	CodeCode Available	0
LEAD: LiDAR Extender for Autonomous Driving	Feb 16, 2021	Autonomous DrivingDepth Completion	—Unverified	0
OmniDet: Surround View Cameras based Multi-task Visual Perception Network for Autonomous Driving	Feb 15, 2021	Autonomous DrivingDepth Estimation	CodeCode Available	0
Learning Depth via Leveraging Semantics: Self-supervised Monocular Depth Estimation with Both Implicit and Explicit Semantic Guidance	Feb 11, 2021	Depth EstimationMonocular Depth Estimation	—Unverified	0
Exploiting Depth Information for Wildlife Monitoring	Feb 10, 2021	Depth EstimationInstance Segmentation	CodeCode Available	0
UniFuse: Unidirectional Fusion for 360^ Panorama Depth Estimation	Feb 6, 2021	Depth Estimation	CodeCode Available	1
Deep Event Stereo Leveraged by Event-to-Image Translation	Feb 2, 2021	3D ReconstructionDepth Estimation	—Unverified	0
Ground-aware Monocular 3D Object Detection for Autonomous Driving	Feb 1, 2021	3D Object Detection6D Pose Estimation using RGB	CodeCode Available	1
Deep Learning--Based Scene Simplification for Bionic Vision	Jan 30, 2021	Deep LearningDepth Estimation	CodeCode Available	0
Deep Anti-aliasing of Whole Focal Stack Using Slice Spectrum	Jan 23, 2021	Depth Estimation	—Unverified	0
SOSD-Net: Joint Semantic Object Segmentation and Depth Estimation from Monocular images	Jan 19, 2021	Depth EstimationMonocular Depth Estimation	—Unverified	0
PLUMENet: Efficient 3D Object Detection from Stereo Images	Jan 17, 2021	3D Object Detection3D Object Detection From Stereo Images	CodeCode Available	1
Monocular Depth Estimation Using Laplacian Pyramid-Based Depth Residuals	Jan 8, 2021	DecoderDepth Estimation	CodeCode Available	1
Probabilistic Graph Attention Network with Conditional Kernels for Pixel-Wise Prediction	Jan 8, 2021	Depth EstimationGraph Attention	—Unverified	0
Mesh Reconstruction from Aerial Images for Outdoor Terrain Mapping Using Joint 2D-3D Learning	Jan 6, 2021	Depth Estimation	CodeCode Available	1
Monocular Depth Estimation for Soft Visuotactile Sensors	Jan 5, 2021	Depth EstimationMonocular Depth Estimation	—Unverified	0
Stereo Correspondence and Reconstruction of Endoscopic Data Challenge	Jan 4, 2021	Depth Estimation	—Unverified	0
Can Scale-Consistent Monocular Depth Be Learned in a Self-Supervised Scale-Invariant Manner?	Jan 1, 2021	Depth EstimationDepth Prediction	—Unverified	0
EPP-MVSNet: Epipolar-Assembling Based Depth Prediction for Multi-View Stereo	Jan 1, 2021	3D ReconstructionDepth Estimation	CodeCode Available	0
R-MSFM: Recurrent Multi-Scale Feature Modulation for Monocular Depth Estimating	Jan 1, 2021	DecoderDepth Estimation	CodeCode Available	1
Revealing the Reciprocal Relations Between Self-Supervised Stereo and Monocular Depth Estimation	Jan 1, 2021	Depth EstimationMonocular Depth Estimation	—Unverified	0
DepthInSpace: Exploitation and Fusion of Multiple Video Frames for Structured-Light Depth Estimation	Jan 1, 2021	Depth EstimationOptical Flow Estimation	—Unverified	0
Event-Intensity Stereo: Estimating Depth by the Best of Both Worlds	Jan 1, 2021	Depth EstimationStereo Depth Estimation	—Unverified	0
Learning Visual Representation from Human Interactions	Jan 1, 2021	Action RecognitionDepth Estimation	—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