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 401–425 of 2454 papers

Title	Date	Tasks	Status	Hype
Crafting Monocular Cues and Velocity Guidance for Self-Supervised Multi-Frame Depth Learning	Aug 19, 2022	Depth Estimation	CodeCode Available	1
Self-Supervised Depth Estimation in Laparoscopic Image using 3D Geometric Consistency	Aug 17, 2022	Depth Estimation	CodeCode Available	1
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision Transformer	Aug 6, 2022	Depth EstimationDepth Prediction	CodeCode Available	1
TransDSSL: Transformer based Depth Estimation via Self-Supervised Learning	Aug 5, 2022	DecoderDepth Estimation	CodeCode Available	1
Neural Contourlet Network for Monocular 360 Depth Estimation	Aug 3, 2022	DecoderDepth Estimation	CodeCode Available	1
Gradient-based Uncertainty for Monocular Depth Estimation	Aug 3, 2022	Depth EstimationDepth Prediction	CodeCode Available	1
Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter	Aug 2, 2022	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
Less is More: Consistent Video Depth Estimation with Masked Frames Modeling	Jul 31, 2022	Depth EstimationOptical Flow Estimation	CodeCode Available	1
Towards Domain-agnostic Depth Completion	Jul 29, 2022	Depth CompletionDepth Estimation	CodeCode Available	1
Cost Volume Pyramid Network with Multi-strategies Range Searching for Multi-view Stereo	Jul 25, 2022	3D ReconstructionDepth Estimation	CodeCode Available	1
RA-Depth: Resolution Adaptive Self-Supervised Monocular Depth Estimation	Jul 25, 2022	Data AugmentationDecoder	CodeCode Available	1
Multi-Event-Camera Depth Estimation and Outlier Rejection by Refocused Events Fusion	Jul 21, 2022	3D ReconstructionDepth Estimation	CodeCode Available	1
Latent Discriminant deterministic Uncertainty	Jul 20, 2022	Autonomous DrivingDepth Estimation	CodeCode Available	1
Densely Constrained Depth Estimator for Monocular 3D Object Detection	Jul 20, 2022	3D Object DetectionDepth Estimation	CodeCode Available	1
Learning Depth from Focus in the Wild	Jul 20, 2022	Depth Estimation	CodeCode Available	1
DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection	Jul 18, 2022	3D Object DetectionAttribute	CodeCode Available	1
JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes	Jul 16, 2022	Autonomous DrivingDepth Estimation	CodeCode Available	1
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks	Jul 14, 2022	Autonomous DrivingDeblurring	CodeCode Available	1
Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches	Jul 11, 2022	3D Object DetectionAutonomous Driving	CodeCode Available	1
Depthformer : Multiscale Vision Transformer For Monocular Depth Estimation With Local Global Information Fusion	Jul 10, 2022	DecoderDepth Estimation	CodeCode Available	1
Network Binarization via Contrastive Learning	Jul 6, 2022	BinarizationContrastive Learning	CodeCode Available	1
Can Language Understand Depth?	Jul 3, 2022	Depth Estimationimage-classification	CodeCode Available	1
When the Sun Goes Down: Repairing Photometric Losses for All-Day Depth Estimation	Jun 28, 2022	AllDepth Estimation	CodeCode Available	1
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation	Jun 27, 2022	Autonomous DrivingBird's-Eye View Semantic Segmentation	CodeCode Available	1
MGNet: Monocular Geometric Scene Understanding for Autonomous Driving	Jun 27, 2022	Autonomous DrivingDepth 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