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 1776–1800 of 2454 papers

Title	Date	Tasks	Status	Hype
AdaBins: Depth Estimation using Adaptive Bins	Nov 28, 2020	DecoderDepth Estimation	CodeCode Available	1
Multi-view Depth Estimation using Epipolar Spatio-Temporal Networks	Nov 26, 2020	Depth EstimationMixture-of-Experts	CodeCode Available	1
Adaptive Multiplane Image Generation from a Single Internet Picture	Nov 26, 2020	Depth EstimationImage Generation	—Unverified	0
Space-time Neural Irradiance Fields for Free-Viewpoint Video	Nov 25, 2020	3D geometryDepth Estimation	—Unverified	0
Variational Monocular Depth Estimation for Reliability Prediction	Nov 24, 2020	Autonomous VehiclesDepth Estimation	—Unverified	0
HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features	Nov 23, 2020	3D Room Layouts From A Single RGB PanoramaDepth Estimation	CodeCode Available	1
MobileDepth: Efficient Monocular Depth Prediction on Mobile Devices	Nov 20, 2020	Data AugmentationDecoder	—Unverified	0
Deep Multi-view Depth Estimation with Predicted Uncertainty	Nov 19, 2020	Depth EstimationOptical Flow Estimation	CodeCode Available	1
Dehazing Cost Volume for Deep Multi-view Stereo in Scattering Media with Airlight and Scattering Coefficient Estimation	Nov 18, 2020	3D ReconstructionDepth Estimation	CodeCode Available	0
EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint Learning of Optical Flow, Depth, Camera Pose and Motion Segmentation	Nov 16, 2020	Depth EstimationMotion Segmentation	—Unverified	0
Autonomously Navigating a Surgical Tool Inside the Eye by Learning from Demonstration	Nov 16, 2020	Autonomous NavigationDepth Estimation	—Unverified	0
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments	Nov 9, 2020	Autonomous DrivingDepth Estimation	CodeCode Available	1
Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications	Nov 9, 2020	Deep LearningDepth Estimation	—Unverified	0
EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN Scenes	Nov 9, 2020	Depth EstimationDepth Prediction	CodeCode Available	0
Real-time Surgical Environment Enhancement for Robot-Assisted Minimally Invasive Surgery Based on Super-Resolution	Nov 8, 2020	Depth EstimationGenerative Adversarial Network	—Unverified	0
Learning a Geometric Representation for Data-Efficient Depth Estimation via Gradient Field and Contrastive Loss	Nov 6, 2020	Depth EstimationMonocular Depth Estimation	CodeCode Available	1
MorphEyes: Variable Baseline Stereo For Quadrotor Navigation	Nov 5, 2020	Depth Estimation	CodeCode Available	0
Towards Keypoint Guided Self-Supervised Depth Estimation	Nov 5, 2020	Depth Estimation	—Unverified	0
Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers	Nov 5, 2020	Depth EstimationPosition	CodeCode Available	1
The Aleatoric Uncertainty Estimation Using a Separate Formulation with Virtual Residuals	Nov 3, 2020	Age EstimationDepth Estimation	—Unverified	0
SLAM in the Field: An Evaluation of Monocular Mapping and Localization on Challenging Dynamic Agricultural Environment	Nov 2, 2020	Autonomous VehiclesDepth Estimation	—Unverified	0
Unsupervised Deep Persistent Monocular Visual Odometry and Depth Estimation in Extreme Environments	Oct 31, 2020	Depth EstimationMonocular Visual Odometry	—Unverified	0
Unsupervised Monocular Depth Learning in Dynamic Scenes	Oct 30, 2020	Depth EstimationDepth Prediction	CodeCode Available	1
Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model	Oct 25, 2020	Depth EstimationDepth Prediction	CodeCode Available	1
DepthLab: Real-Time 3D Interaction With Depth Maps for Mobile Augmented Reality	Oct 22, 2020	Depth And Camera MotionDepth 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