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 626–650 of 2454 papers

Title	Date	Tasks	Status	Hype
Configurable Holography: Towards Display and Scene Adaptation	Mar 24, 2024	Depth EstimationKnowledge Distillation	—Unverified	0
Depth Estimation fusing Image and Radar Measurements with Uncertain Directions	Mar 23, 2024	Depth Estimation	—Unverified	0
Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation	Mar 22, 2024	Depth EstimationSurface Normal Estimation	CodeCode Available	7
Language-Based Depth Hints for Monocular Depth Estimation	Mar 22, 2024	Depth EstimationInstance Segmentation	—Unverified	0
Learning to Project for Cross-Task Knowledge Distillation	Mar 21, 2024	Depth EstimationKnowledge Distillation	—Unverified	0
DepthFM: Fast Monocular Depth Estimation with Flow Matching	Mar 20, 2024	Depth EstimationMonocular Depth Estimation	CodeCode Available	4
When Do We Not Need Larger Vision Models?	Mar 19, 2024	Depth Estimation	CodeCode Available	9
Geometric Constraints in Deep Learning Frameworks: A Survey	Mar 19, 2024	Deep LearningDepth Estimation	—Unverified	0
FutureDepth: Learning to Predict the Future Improves Video Depth Estimation	Mar 19, 2024	DecoderDepth Estimation	—Unverified	0
GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection	Mar 18, 2024	3D Object DetectionAutonomous Driving	—Unverified	0
SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications	Mar 18, 2024	Autonomous DrivingAutonomous Navigation	—Unverified	0
MSI-NeRF: Linking Omni-Depth with View Synthesis through Multi-Sphere Image aided Generalizable Neural Radiance Field	Mar 16, 2024	Depth EstimationNeRF	CodeCode Available	1
SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera Images	Mar 15, 2024	Computational EfficiencyDecoder	CodeCode Available	1
Robust Shape Fitting for 3D Scene Abstraction	Mar 15, 2024	Depth EstimationScene Parsing	CodeCode Available	2
Region-aware Distribution Contrast: A Novel Approach to Multi-Task Partially Supervised Learning	Mar 15, 2024	Depth EstimationSemantic Segmentation	—Unverified	0
FeatUp: A Model-Agnostic Framework for Features at Any Resolution	Mar 15, 2024	Depth EstimationDepth Prediction	CodeCode Available	5
Touch-GS: Visual-Tactile Supervised 3D Gaussian Splatting	Mar 14, 2024	3DGSDepth Estimation	—Unverified	0
Improving Distant 3D Object Detection Using 2D Box Supervision	Mar 14, 2024	3D Object DetectionDepth Estimation	—Unverified	0
SM4Depth: Seamless Monocular Metric Depth Estimation across Multiple Cameras and Scenes by One Model	Mar 13, 2024	Depth EstimationGPU	CodeCode Available	1
METER: a mobile vision transformer architecture for monocular depth estimation	Mar 13, 2024	CPUData Augmentation	CodeCode Available	0
WaveShot: A Compact Portable Unmanned Surface Vessel for Dynamic Water Surface Videography and Media Production	Mar 12, 2024	Depth EstimationMonocular Depth Estimation	—Unverified	0
Q-SLAM: Quadric Representations for Monocular SLAM	Mar 12, 2024	3D geometry3D Reconstruction	—Unverified	0
D4D: An RGBD diffusion model to boost monocular depth estimation	Mar 12, 2024	Depth EstimationMonocular Depth Estimation	CodeCode Available	0
SGE: Structured Light System Based on Gray Code with an Event Camera	Mar 12, 2024	Depth Estimation	—Unverified	0
Adaptive Fusion of Single-View and Multi-View Depth for Autonomous Driving	Mar 12, 2024	Autonomous DrivingDepth Estimation	CodeCode Available	2

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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