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 1026–1050 of 2454 papers

Title	Date	Tasks	Status	Hype
STDepthFormer: Predicting Spatio-temporal Depth from Video with a Self-supervised Transformer Model	Mar 2, 2023	Depth EstimationDepth Prediction	—Unverified	0
APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation	Mar 2, 2023	Autonomous DrivingAutonomous Navigation	—Unverified	0
I2P-Rec: Recognizing Images on Large-scale Point Cloud Maps through Bird's Eye View Projections	Mar 2, 2023	Depth Estimation	—Unverified	0
Monocular Depth Estimation using Diffusion Models	Feb 28, 2023	DenoisingDepth Estimation	—Unverified	0
Learning to Estimate Two Dense Depths from LiDAR and Event Data	Feb 28, 2023	Depth EstimationVocal Bursts Valence Prediction	—Unverified	0
SUPS: A Simulated Underground Parking Scenario Dataset for Autonomous Driving	Feb 25, 2023	3D ReconstructionAutonomous Driving	CodeCode Available	1
FLSea: Underwater Visual-Inertial and Stereo-Vision Forward-Looking Datasets	Feb 24, 2023	3D ReconstructionDepth Estimation	CodeCode Available	1
ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth	Feb 23, 2023	Depth EstimationMonocular Depth Estimation	CodeCode Available	5
VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion	Feb 23, 2023	3D geometry3D Semantic Scene Completion	CodeCode Available	3
MVTrans: Multi-View Perception of Transparent Objects	Feb 22, 2023	Dataset GenerationDepth Estimation	—Unverified	0
Bokeh Rendering Based on Adaptive Depth Calibration Network	Feb 21, 2023	Depth EstimationMonocular Depth Estimation	—Unverified	0
MonoPGC: Monocular 3D Object Detection with Pixel Geometry Contexts	Feb 21, 2023	3D Object DetectionAutonomous Driving	—Unverified	0
Learning 3D Photography Videos via Self-supervised Diffusion on Single Images	Feb 21, 2023	Depth EstimationImage Outpainting	—Unverified	0
Depth Estimation and Image Restoration by Deep Learning from Defocused Images	Feb 21, 2023	DeblurringDepth Estimation	—Unverified	0
An evaluation of deep learning models for predicting water depth evolution in urban floods	Feb 20, 2023	Deep LearningDepth Estimation	—Unverified	0
GlocalFuse-Depth: Fusing Transformers and CNNs for All-day Self-supervised Monocular Depth Estimation	Feb 20, 2023	AllDepth Estimation	—Unverified	0
On the Metrics for Evaluating Monocular Depth Estimation	Feb 20, 2023	3D Object DetectionAutonomous Vehicles	—Unverified	0
Self-Supervised Monocular Depth Estimation with Self-Reference Distillation and Disparity Offset Refinement	Feb 20, 2023	Depth EstimationMonocular Depth Estimation	CodeCode Available	0
MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs	Feb 17, 2023	Depth EstimationNeRF	CodeCode Available	1
Long Range Object-Level Monocular Depth Estimation for UAVs	Feb 17, 2023	Depth EstimationMonocular Depth Estimation	—Unverified	0
URCDC-Depth: Uncertainty Rectified Cross-Distillation with CutFlip for Monocular Depth Estimation	Feb 16, 2023	Data AugmentationDepth Estimation	CodeCode Available	1
Spectral 3D Computer Vision -- A Review	Feb 16, 2023	Depth Estimation	—Unverified	0
VA-DepthNet: A Variational Approach to Single Image Depth Prediction	Feb 13, 2023	Depth EstimationDepth Prediction	CodeCode Available	1
EVEN: An Event-Based Framework for Monocular Depth Estimation at Adverse Night Conditions	Feb 8, 2023	Autonomous DrivingDepth Estimation	—Unverified	0
A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning Conventions	Feb 8, 2023	Depth EstimationDepth Prediction	CodeCode Available	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